Mac17,9
Geekbench AI Score
4996
Single Precision Score
8757
Half Precision Score
7025
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | Supr3M |
| Upload Date | March 15 2026 07:43 PM |
| Views | 6 |
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, 15 Cores |
| Identifier | Apple M5 Pro |
| Base Frequency | 4.60 GHz |
| Cluster 1 | 5 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2359
438.7 IPS |
|
|
Image Classification (HP)
|
100% |
3692
686.7 IPS |
|
|
Image Classification (Q)
|
96% |
2524
471.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2515
40.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
3503
56.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3986
64.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
10593
12.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
20914
24.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
17955
21.0 IPS |
|
|
Object Detection (SP)
|
100% |
2819
223.6 IPS |
|
|
Object Detection (HP)
|
97% |
4265
339.5 IPS |
|
|
Object Detection (Q)
|
94% |
3004
239.5 IPS |
|
|
Face Detection (SP)
|
100% |
5162
61.3 IPS |
|
|
Face Detection (HP)
|
100% |
8774
104.3 IPS |
|
|
Face Detection (Q)
|
100% |
4968
59.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
9425
72.6 IPS |
|
|
Depth Estimation (HP)
|
97% |
15651
121.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
10859
84.8 IPS |
|
|
Style Transfer (SP)
|
100% |
26602
34.2 IPS |
|
|
Style Transfer (HP)
|
100% |
41787
53.7 IPS |
|
|
Style Transfer (Q)
|
96% |
34188
44.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5957
220.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7168
264.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5190
191.6 IPS |
|
|
Text Classification (SP)
|
100% |
2912
3.89 KIPS |
|
|
Text Classification (HP)
|
99% |
5528
7.38 KIPS |
|
|
Text Classification (Q)
|
93% |
5547
7.44 KIPS |
|
|
Machine Translation (SP)
|
100% |
2439
42.0 IPS |
|
|
Machine Translation (HP)
|
98% |
10118
174.8 IPS |
|
|
Machine Translation (Q)
|
98% |
10164
175.7 IPS |
