Mac17,9
Geekbench AI Score
5305
Single Precision Score
9284
Half Precision Score
7253
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | DunDun |
| Upload Date | March 31 2026 02:08 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M5 Pro |
| System Information | |
|---|---|
| Operating System | macOS 26.4 (Build 25E246) |
| Model | Mac17,9 |
| Model ID | Mac17,9 |
| Motherboard | Mac17,9 |
| CPU Information | |
|---|---|
| Name | Apple M5 Pro |
| Topology | 1 Processor, 18 Cores |
| Identifier | Apple M5 Pro |
| Base Frequency | 4.59 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2281
424.2 IPS |
|
|
Image Classification (HP)
|
100% |
3593
668.1 IPS |
|
|
Image Classification (Q)
|
94% |
2149
401.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2483
40.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
3012
48.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
4116
66.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
9532
11.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
19473
22.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
16873
19.8 IPS |
|
|
Object Detection (SP)
|
100% |
2853
226.3 IPS |
|
|
Object Detection (HP)
|
98% |
4263
339.2 IPS |
|
|
Object Detection (Q)
|
88% |
2840
227.7 IPS |
|
|
Face Detection (SP)
|
100% |
5499
65.3 IPS |
|
|
Face Detection (HP)
|
100% |
9819
116.7 IPS |
|
|
Face Detection (Q)
|
100% |
5251
62.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
9125
70.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
11733
90.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
8318
65.0 IPS |
|
|
Style Transfer (SP)
|
100% |
24922
32.0 IPS |
|
|
Style Transfer (HP)
|
100% |
46138
59.3 IPS |
|
|
Style Transfer (Q)
|
96% |
37125
47.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5827
215.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10488
387.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6223
229.8 IPS |
|
|
Text Classification (SP)
|
99% |
5765
7.70 KIPS |
|
|
Text Classification (HP)
|
100% |
9874
13.2 KIPS |
|
|
Text Classification (Q)
|
93% |
9862
13.2 KIPS |
|
|
Machine Translation (SP)
|
100% |
2729
47.0 IPS |
|
|
Machine Translation (HP)
|
100% |
9628
165.9 IPS |
|
|
Machine Translation (Q)
|
98% |
9563
165.3 IPS |
