Mac17,2
Geekbench AI Score
5324
Single Precision Score
8607
Half Precision Score
6889
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | November 06 2025 06:14 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M5 |
| System Information | |
|---|---|
| Operating System | macOS 26.0 (Build 25A8353) |
| 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% |
2286
425.2 IPS |
|
|
Image Classification (HP)
|
100% |
3686
685.6 IPS |
|
|
Image Classification (Q)
|
96% |
2509
468.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2425
39.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
3539
57.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3885
63.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
11347
13.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
20790
24.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
17877
21.0 IPS |
|
|
Object Detection (SP)
|
100% |
2689
213.3 IPS |
|
|
Object Detection (HP)
|
97% |
4183
333.0 IPS |
|
|
Object Detection (Q)
|
94% |
2983
237.8 IPS |
|
|
Face Detection (SP)
|
100% |
4863
57.8 IPS |
|
|
Face Detection (HP)
|
100% |
8593
102.1 IPS |
|
|
Face Detection (Q)
|
100% |
4818
57.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
9159
70.6 IPS |
|
|
Depth Estimation (HP)
|
97% |
15248
117.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
10626
82.9 IPS |
|
|
Style Transfer (SP)
|
100% |
27138
34.9 IPS |
|
|
Style Transfer (HP)
|
100% |
41368
53.2 IPS |
|
|
Style Transfer (Q)
|
96% |
33897
43.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6012
222.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7117
262.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5117
189.0 IPS |
|
|
Text Classification (SP)
|
100% |
2998
4.00 KIPS |
|
|
Text Classification (HP)
|
99% |
5555
7.41 KIPS |
|
|
Text Classification (Q)
|
93% |
5536
7.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
4972
85.6 IPS |
|
|
Machine Translation (HP)
|
98% |
9186
158.7 IPS |
|
|
Machine Translation (Q)
|
98% |
9424
162.9 IPS |
