Mac17,9
Geekbench AI Score
4957
Single Precision Score
8732
Half Precision Score
6933
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | discobay |
| Upload Date | March 18 2026 08:34 AM |
| Views | 3 |
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 | 4.57 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2309
429.5 IPS |
|
|
Image Classification (HP)
|
100% |
3645
677.8 IPS |
|
|
Image Classification (Q)
|
96% |
2429
453.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2505
40.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
3540
57.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3892
63.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
10577
12.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
20587
24.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
17613
20.6 IPS |
|
|
Object Detection (SP)
|
100% |
2759
218.8 IPS |
|
|
Object Detection (HP)
|
97% |
4214
335.5 IPS |
|
|
Object Detection (Q)
|
94% |
2942
234.5 IPS |
|
|
Face Detection (SP)
|
100% |
4981
59.2 IPS |
|
|
Face Detection (HP)
|
100% |
8430
100.2 IPS |
|
|
Face Detection (Q)
|
100% |
4782
56.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
9264
71.4 IPS |
|
|
Depth Estimation (HP)
|
97% |
15413
119.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
10634
83.0 IPS |
|
|
Style Transfer (SP)
|
100% |
25264
32.5 IPS |
|
|
Style Transfer (HP)
|
100% |
41001
52.7 IPS |
|
|
Style Transfer (Q)
|
96% |
33538
43.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5988
221.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7244
267.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5242
193.5 IPS |
|
|
Text Classification (SP)
|
100% |
3223
4.30 KIPS |
|
|
Text Classification (HP)
|
99% |
5953
7.95 KIPS |
|
|
Text Classification (Q)
|
93% |
5821
7.81 KIPS |
|
|
Machine Translation (SP)
|
100% |
2363
40.7 IPS |
|
|
Machine Translation (HP)
|
98% |
10032
173.3 IPS |
|
|
Machine Translation (Q)
|
98% |
10071
174.0 IPS |
