Mac17,9
Geekbench AI Score
5018
Single Precision Score
8753
Half Precision Score
7021
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | dd1989 |
| Upload Date | March 11 2026 01:43 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M5 Pro |
| System Information | |
|---|---|
| Operating System | macOS 26.3.1 (Build 25D2128) |
| 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 | 4.60 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2345
436.1 IPS |
|
|
Image Classification (HP)
|
100% |
3649
678.5 IPS |
|
|
Image Classification (Q)
|
96% |
2532
472.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2407
39.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
3476
56.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
4005
64.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
11300
13.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
20821
24.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
17971
21.1 IPS |
|
|
Object Detection (SP)
|
100% |
2816
223.4 IPS |
|
|
Object Detection (HP)
|
97% |
4240
337.6 IPS |
|
|
Object Detection (Q)
|
94% |
3000
239.1 IPS |
|
|
Face Detection (SP)
|
100% |
5176
61.5 IPS |
|
|
Face Detection (HP)
|
100% |
8764
104.1 IPS |
|
|
Face Detection (Q)
|
100% |
4934
58.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
9388
72.3 IPS |
|
|
Depth Estimation (HP)
|
97% |
15738
121.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
10845
84.6 IPS |
|
|
Style Transfer (SP)
|
100% |
27178
34.9 IPS |
|
|
Style Transfer (HP)
|
100% |
41780
53.7 IPS |
|
|
Style Transfer (Q)
|
96% |
34304
44.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5963
220.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7156
264.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5198
191.9 IPS |
|
|
Text Classification (SP)
|
100% |
2946
3.93 KIPS |
|
|
Text Classification (HP)
|
99% |
5534
7.39 KIPS |
|
|
Text Classification (Q)
|
93% |
5489
7.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
2433
41.9 IPS |
|
|
Machine Translation (HP)
|
98% |
10333
178.5 IPS |
|
|
Machine Translation (Q)
|
98% |
10167
175.7 IPS |
