MacBook Pro (16-inch, M5 Pro, 2026)/M5 Pro Mac17,8
Geekbench AI Score
5032
Single Precision Score
8757
Half Precision Score
7034
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | idanbo |
| Upload Date | March 16 2026 03:25 AM |
| Views | 6 |
| 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 | CPU |
| 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% |
2339
435.0 IPS |
|
|
Image Classification (HP)
|
100% |
3688
685.9 IPS |
|
|
Image Classification (Q)
|
96% |
2534
473.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2425
39.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
3461
56.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3995
64.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
11377
13.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
20849
24.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
18030
21.1 IPS |
|
|
Object Detection (SP)
|
100% |
2820
223.7 IPS |
|
|
Object Detection (HP)
|
97% |
4244
337.8 IPS |
|
|
Object Detection (Q)
|
94% |
2999
239.0 IPS |
|
|
Face Detection (SP)
|
100% |
5169
61.4 IPS |
|
|
Face Detection (HP)
|
100% |
8779
104.3 IPS |
|
|
Face Detection (Q)
|
100% |
4947
58.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
9426
72.6 IPS |
|
|
Depth Estimation (HP)
|
97% |
15698
121.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
10852
84.7 IPS |
|
|
Style Transfer (SP)
|
100% |
27162
34.9 IPS |
|
|
Style Transfer (HP)
|
100% |
41871
53.8 IPS |
|
|
Style Transfer (Q)
|
96% |
34353
44.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5958
220.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7173
264.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5206
192.2 IPS |
|
|
Text Classification (SP)
|
100% |
2972
3.97 KIPS |
|
|
Text Classification (HP)
|
99% |
5538
7.39 KIPS |
|
|
Text Classification (Q)
|
93% |
5550
7.45 KIPS |
|
|
Machine Translation (SP)
|
100% |
2444
42.1 IPS |
|
|
Machine Translation (HP)
|
98% |
10248
177.1 IPS |
|
|
Machine Translation (Q)
|
98% |
10174
175.8 IPS |
