MacBook Pro (16-inch, M5 Pro, 2026)/M5 Pro Mac17,8
Geekbench AI Score
4980
Single Precision Score
43559
Half Precision Score
58575
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | idanbo |
| Upload Date | March 16 2026 03:29 AM |
| Views | 30 |
| Notes | MacBook Pro (16-inch, M5 Pro, 2026)/M5 Pro 18Core CPU/20Core GPU/24GB/1TB SSD |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M5 Pro |
| System Information | |
|---|---|
| Operating System | macOS 26.3.1 (Build 25D2128) |
| Model | Mac17,8 |
| Model ID | Mac17,8 |
| Motherboard | Mac17,8 |
| CPU Information | |
|---|---|
| Name | Apple M5 Pro |
| Topology | 1 Processor, 18 Cores |
| Identifier | Apple M5 Pro |
| Base Frequency | 4.60 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2326
432.6 IPS |
|
|
Image Classification (HP)
|
100% |
19475
3.62 KIPS |
|
|
Image Classification (Q)
|
97% |
23234
4.34 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2424
39.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
25826
418.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
35969
583.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
10577
12.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
182508
213.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
335128
392.8 IPS |
|
|
Object Detection (SP)
|
100% |
2810
222.9 IPS |
|
|
Object Detection (HP)
|
100% |
21746
1.72 KIPS |
|
|
Object Detection (Q)
|
91% |
27883
2.23 KIPS |
|
|
Face Detection (SP)
|
100% |
5116
60.8 IPS |
|
|
Face Detection (HP)
|
100% |
49009
582.3 IPS |
|
|
Face Detection (Q)
|
100% |
69161
821.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
9426
72.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
135740
1.05 KIPS |
|
|
Depth Estimation (Q)
|
85% |
212261
1.66 KIPS |
|
|
Style Transfer (SP)
|
100% |
27131
34.9 IPS |
|
|
Style Transfer (HP)
|
100% |
286175
367.9 IPS |
|
|
Style Transfer (Q)
|
96% |
395045
509.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6003
221.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
64355
2.38 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
101701
3.76 KIPS |
|
|
Text Classification (SP)
|
100% |
2950
3.94 KIPS |
|
|
Text Classification (HP)
|
99% |
5484
7.32 KIPS |
|
|
Text Classification (Q)
|
93% |
5435
7.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
2419
41.7 IPS |
|
|
Machine Translation (HP)
|
100% |
18336
315.8 IPS |
|
|
Machine Translation (Q)
|
98% |
18997
328.3 IPS |
