Mac17,2
Geekbench AI Score
5318
Single Precision Score
41726
Half Precision Score
57345
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | November 17 2025 10:30 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M5 |
| System Information | |
|---|---|
| Operating System | macOS 26.1 (Build 25B78) |
| Model | Mac17,2 |
| Model ID | Mac17,2 |
| Motherboard | Mac17,2 |
| CPU Information | |
|---|---|
| Name | Apple M5 |
| Topology | 1 Processor, 10 Cores |
| Identifier | Apple M5 |
| Base Frequency | 4.61 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2289
425.7 IPS |
|
|
Image Classification (HP)
|
100% |
18470
3.43 KIPS |
|
|
Image Classification (Q)
|
97% |
23870
4.45 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2428
39.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
24047
389.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
33042
535.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
10995
12.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
177664
207.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
333304
390.7 IPS |
|
|
Object Detection (SP)
|
100% |
2683
212.8 IPS |
|
|
Object Detection (HP)
|
100% |
17882
1.42 KIPS |
|
|
Object Detection (Q)
|
91% |
26579
2.12 KIPS |
|
|
Face Detection (SP)
|
100% |
4841
57.5 IPS |
|
|
Face Detection (HP)
|
100% |
46974
558.2 IPS |
|
|
Face Detection (Q)
|
100% |
67156
798.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
9173
70.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
111489
859.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
176044
1.38 KIPS |
|
|
Style Transfer (SP)
|
100% |
27636
35.5 IPS |
|
|
Style Transfer (HP)
|
100% |
269548
346.5 IPS |
|
|
Style Transfer (Q)
|
96% |
367698
474.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5985
221.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
63524
2.35 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
101602
3.75 KIPS |
|
|
Text Classification (SP)
|
100% |
2982
3.98 KIPS |
|
|
Text Classification (HP)
|
100% |
7113
9.49 KIPS |
|
|
Text Classification (Q)
|
93% |
6656
8.93 KIPS |
|
|
Machine Translation (SP)
|
100% |
5046
86.9 IPS |
|
|
Machine Translation (HP)
|
100% |
17776
306.2 IPS |
|
|
Machine Translation (Q)
|
98% |
18722
323.5 IPS |
