Mac17,2
Geekbench AI Score
5341
Single Precision Score
8706
Half Precision Score
6911
Quantized Score
Geekbench AI 1.6.0 for macOS AArch64
Result Information
| User | Teva |
| Upload Date | January 24 2026 08:59 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M5 |
| System Information | |
|---|---|
| Operating System | macOS 26.2 (Build 25C56) |
| 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% |
2312
430.0 IPS |
|
|
Image Classification (HP)
|
100% |
3670
682.6 IPS |
|
|
Image Classification (Q)
|
96% |
2505
467.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2429
39.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
3541
57.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3905
63.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
11047
12.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
20747
24.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
17871
20.9 IPS |
|
|
Object Detection (SP)
|
100% |
2702
214.3 IPS |
|
|
Object Detection (HP)
|
97% |
4197
334.1 IPS |
|
|
Object Detection (Q)
|
94% |
2952
235.3 IPS |
|
|
Face Detection (SP)
|
100% |
4835
57.5 IPS |
|
|
Face Detection (HP)
|
100% |
8617
102.4 IPS |
|
|
Face Detection (Q)
|
100% |
4839
57.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
9161
70.6 IPS |
|
|
Depth Estimation (HP)
|
97% |
15240
117.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
10612
82.8 IPS |
|
|
Style Transfer (SP)
|
100% |
27305
35.1 IPS |
|
|
Style Transfer (HP)
|
100% |
41525
53.4 IPS |
|
|
Style Transfer (Q)
|
96% |
33986
43.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5991
221.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7167
264.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5184
191.4 IPS |
|
|
Text Classification (SP)
|
100% |
3067
4.09 KIPS |
|
|
Text Classification (HP)
|
99% |
5591
7.46 KIPS |
|
|
Text Classification (Q)
|
93% |
5583
7.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
5072
87.4 IPS |
|
|
Machine Translation (HP)
|
98% |
10118
174.8 IPS |
|
|
Machine Translation (Q)
|
98% |
9547
165.0 IPS |
