Mac17,2
Geekbench AI Score
5342
Single Precision Score
8723
Half Precision Score
6933
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | November 07 2025 01:55 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
2257
419.7 IPS |
|
|
Image Classification (HP)
|
100% |
3737
695.0 IPS |
|
|
Image Classification (Q)
|
96% |
2526
471.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2429
39.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
3584
58.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3915
63.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
11313
13.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
20890
24.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
17907
21.0 IPS |
|
|
Object Detection (SP)
|
100% |
2712
215.1 IPS |
|
|
Object Detection (HP)
|
97% |
4259
339.0 IPS |
|
|
Object Detection (Q)
|
94% |
2998
239.0 IPS |
|
|
Face Detection (SP)
|
100% |
4839
57.5 IPS |
|
|
Face Detection (HP)
|
100% |
8616
102.4 IPS |
|
|
Face Detection (Q)
|
100% |
4862
57.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
9204
70.9 IPS |
|
|
Depth Estimation (HP)
|
97% |
15343
118.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
10664
83.2 IPS |
|
|
Style Transfer (SP)
|
100% |
27506
35.4 IPS |
|
|
Style Transfer (HP)
|
100% |
41626
53.5 IPS |
|
|
Style Transfer (Q)
|
96% |
34032
43.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6002
221.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7176
265.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5182
191.3 IPS |
|
|
Text Classification (SP)
|
100% |
3088
4.12 KIPS |
|
|
Text Classification (HP)
|
99% |
5645
7.54 KIPS |
|
|
Text Classification (Q)
|
93% |
5618
7.54 KIPS |
|
|
Machine Translation (SP)
|
100% |
4963
85.5 IPS |
|
|
Machine Translation (HP)
|
98% |
9604
165.9 IPS |
|
|
Machine Translation (Q)
|
98% |
9417
162.7 IPS |
