Mac17,8
Geekbench AI Score
5037
Single Precision Score
8795
Half Precision Score
7036
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | bgh0809 |
| Upload Date | March 15 2026 12:58 AM |
| Views | 3 |
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 | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2339
434.9 IPS |
|
|
Image Classification (HP)
|
100% |
3664
681.3 IPS |
|
|
Image Classification (Q)
|
96% |
2540
474.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2442
39.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
3531
57.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
4004
64.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
11234
13.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
20911
24.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
18023
21.1 IPS |
|
|
Object Detection (SP)
|
100% |
2819
223.6 IPS |
|
|
Object Detection (HP)
|
97% |
4241
337.6 IPS |
|
|
Object Detection (Q)
|
94% |
2995
238.7 IPS |
|
|
Face Detection (SP)
|
100% |
5170
61.4 IPS |
|
|
Face Detection (HP)
|
100% |
8745
103.9 IPS |
|
|
Face Detection (Q)
|
100% |
4917
58.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
9393
72.4 IPS |
|
|
Depth Estimation (HP)
|
97% |
15721
121.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
10837
84.6 IPS |
|
|
Style Transfer (SP)
|
100% |
27119
34.9 IPS |
|
|
Style Transfer (HP)
|
100% |
41866
53.8 IPS |
|
|
Style Transfer (Q)
|
96% |
34321
44.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6011
221.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7218
266.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5221
192.8 IPS |
|
|
Text Classification (SP)
|
100% |
3016
4.03 KIPS |
|
|
Text Classification (HP)
|
99% |
5674
7.57 KIPS |
|
|
Text Classification (Q)
|
93% |
5572
7.48 KIPS |
|
|
Machine Translation (SP)
|
100% |
2437
42.0 IPS |
|
|
Machine Translation (HP)
|
98% |
10247
177.1 IPS |
|
|
Machine Translation (Q)
|
98% |
10194
176.2 IPS |
