Mac17,8
Geekbench AI Score
4979
Single Precision Score
44644
Half Precision Score
59702
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | Jake-b5 |
| Upload Date | March 18 2026 09:44 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M5 Pro |
| System Information | |
|---|---|
| Operating System | macOS 26.3 (Build 25D2125) |
| 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 | 4.59 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2310
429.6 IPS |
|
|
Image Classification (HP)
|
100% |
20485
3.81 KIPS |
|
|
Image Classification (Q)
|
97% |
25751
4.81 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2446
39.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
26321
426.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
37236
603.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
11030
12.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
181998
212.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
335885
393.7 IPS |
|
|
Object Detection (SP)
|
100% |
2784
220.8 IPS |
|
|
Object Detection (HP)
|
100% |
23750
1.88 KIPS |
|
|
Object Detection (Q)
|
91% |
27813
2.22 KIPS |
|
|
Face Detection (SP)
|
100% |
5037
59.8 IPS |
|
|
Face Detection (HP)
|
100% |
49305
585.9 IPS |
|
|
Face Detection (Q)
|
100% |
70140
833.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
9364
72.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
139456
1.07 KIPS |
|
|
Depth Estimation (Q)
|
85% |
215658
1.69 KIPS |
|
|
Style Transfer (SP)
|
100% |
26537
34.1 IPS |
|
|
Style Transfer (HP)
|
100% |
286795
368.7 IPS |
|
|
Style Transfer (Q)
|
96% |
395896
510.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6006
221.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
65518
2.42 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
103529
3.82 KIPS |
|
|
Text Classification (SP)
|
100% |
2979
3.98 KIPS |
|
|
Text Classification (HP)
|
99% |
5430
7.25 KIPS |
|
|
Text Classification (Q)
|
93% |
5499
7.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
2413
41.6 IPS |
|
|
Machine Translation (HP)
|
100% |
19237
331.4 IPS |
|
|
Machine Translation (Q)
|
98% |
18840
325.6 IPS |
