Mac17,8
Geekbench AI Score
5334
Single Precision Score
9287
Half Precision Score
7262
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | DanielYK |
| Upload Date | March 21 2026 07:35 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M5 Pro |
| System Information | |
|---|---|
| Operating System | macOS 26.4 (Build 25E243) |
| 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% |
2256
419.6 IPS |
|
|
Image Classification (HP)
|
100% |
3572
664.3 IPS |
|
|
Image Classification (Q)
|
94% |
2198
410.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2527
41.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
3010
48.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
4037
65.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
9757
11.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
19385
22.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
16862
19.8 IPS |
|
|
Object Detection (SP)
|
100% |
2834
224.8 IPS |
|
|
Object Detection (HP)
|
98% |
4270
339.8 IPS |
|
|
Object Detection (Q)
|
88% |
2871
230.1 IPS |
|
|
Face Detection (SP)
|
100% |
5471
65.0 IPS |
|
|
Face Detection (HP)
|
100% |
9572
113.7 IPS |
|
|
Face Detection (Q)
|
100% |
5228
62.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
9073
69.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
12135
93.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
8327
65.1 IPS |
|
|
Style Transfer (SP)
|
100% |
24676
31.7 IPS |
|
|
Style Transfer (HP)
|
100% |
46169
59.4 IPS |
|
|
Style Transfer (Q)
|
96% |
36997
47.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5792
213.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10482
387.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6244
230.6 IPS |
|
|
Text Classification (SP)
|
100% |
6186
8.26 KIPS |
|
|
Text Classification (HP)
|
99% |
10052
13.4 KIPS |
|
|
Text Classification (Q)
|
92% |
9955
13.4 KIPS |
|
|
Machine Translation (SP)
|
100% |
2698
46.5 IPS |
|
|
Machine Translation (HP)
|
100% |
9493
163.5 IPS |
|
|
Machine Translation (Q)
|
98% |
9490
164.0 IPS |
