Mac17,8
Geekbench AI Score
5005
Single Precision Score
8761
Half Precision Score
7016
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | Jake-b5 |
| Upload Date | March 18 2026 09:46 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M5 Pro |
| System Information | |
|---|---|
| Operating System | macOS 26.3 (Build 25D2125) |
| Model | Mac17,8 |
| Model ID | Mac17,8 |
| Motherboard | Mac17,8 |
| 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2345
436.1 IPS |
|
|
Image Classification (HP)
|
100% |
3714
690.8 IPS |
|
|
Image Classification (Q)
|
96% |
2534
473.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2435
39.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
3482
56.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3992
64.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
11265
13.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
20765
24.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
17913
21.0 IPS |
|
|
Object Detection (SP)
|
100% |
2807
222.6 IPS |
|
|
Object Detection (HP)
|
97% |
4210
335.2 IPS |
|
|
Object Detection (Q)
|
94% |
2987
238.1 IPS |
|
|
Face Detection (SP)
|
100% |
5070
60.2 IPS |
|
|
Face Detection (HP)
|
100% |
8701
103.4 IPS |
|
|
Face Detection (Q)
|
100% |
4910
58.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
9403
72.4 IPS |
|
|
Depth Estimation (HP)
|
97% |
15668
121.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
10829
84.5 IPS |
|
|
Style Transfer (SP)
|
100% |
27050
34.8 IPS |
|
|
Style Transfer (HP)
|
100% |
41634
53.5 IPS |
|
|
Style Transfer (Q)
|
96% |
34259
44.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5995
221.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7182
265.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5197
191.9 IPS |
|
|
Text Classification (SP)
|
100% |
2961
3.95 KIPS |
|
|
Text Classification (HP)
|
99% |
5680
7.58 KIPS |
|
|
Text Classification (Q)
|
93% |
5588
7.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
2389
41.1 IPS |
|
|
Machine Translation (HP)
|
98% |
10181
175.9 IPS |
|
|
Machine Translation (Q)
|
98% |
10101
174.6 IPS |
