Mac17,2
Geekbench AI Score
5327
Single Precision Score
8750
Half Precision Score
6952
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | kentdg |
| Upload Date | November 02 2025 07:58 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M5 |
| System Information | |
|---|---|
| Operating System | macOS 26.0.1 (Build 25A8364) |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2284
424.8 IPS |
|
|
Image Classification (HP)
|
100% |
3735
694.6 IPS |
|
|
Image Classification (Q)
|
96% |
2552
476.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2437
39.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
3676
59.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3913
63.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
11323
13.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
20830
24.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
17816
20.9 IPS |
|
|
Object Detection (SP)
|
100% |
2680
212.6 IPS |
|
|
Object Detection (HP)
|
97% |
4235
337.2 IPS |
|
|
Object Detection (Q)
|
94% |
2987
238.0 IPS |
|
|
Face Detection (SP)
|
100% |
4835
57.4 IPS |
|
|
Face Detection (HP)
|
100% |
8614
102.3 IPS |
|
|
Face Detection (Q)
|
100% |
4878
58.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
9184
70.8 IPS |
|
|
Depth Estimation (HP)
|
97% |
15321
118.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
10700
83.5 IPS |
|
|
Style Transfer (SP)
|
100% |
27314
35.1 IPS |
|
|
Style Transfer (HP)
|
100% |
41503
53.4 IPS |
|
|
Style Transfer (Q)
|
96% |
34040
43.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6007
221.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7237
267.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5193
191.7 IPS |
|
|
Text Classification (SP)
|
100% |
3013
4.02 KIPS |
|
|
Text Classification (HP)
|
99% |
5671
7.57 KIPS |
|
|
Text Classification (Q)
|
93% |
5638
7.57 KIPS |
|
|
Machine Translation (SP)
|
100% |
4969
85.6 IPS |
|
|
Machine Translation (HP)
|
98% |
9669
167.1 IPS |
|
|
Machine Translation (Q)
|
98% |
9545
165.0 IPS |
