MP5 GPU Mac17,2
Geekbench AI Score
13761
Single Precision Score
25907
Half Precision Score
26129
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | SausageTaste |
| Upload Date | March 07 2026 01:49 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M5 |
| System Information | |
|---|---|
| Operating System | macOS 26.3.1 (Build 25D2128) |
| Model | Mac17,2 |
| Model ID | Mac17,2 |
| Motherboard | Mac17,2 |
| CPU Information | |
|---|---|
| Name | Apple M5 |
| Topology | 1 Processor, 10 Cores |
| Identifier | Apple M5 |
| Base Frequency | 4.61 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6216
1.16 KIPS |
|
|
Image Classification (HP)
|
100% |
10821
2.01 KIPS |
|
|
Image Classification (Q)
|
99% |
10677
1.99 KIPS |
|
|
Image Segmentation (SP)
|
100% |
10141
164.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
17078
276.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
16933
274.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
39520
46.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
102777
119.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
129794
152.1 IPS |
|
|
Object Detection (SP)
|
100% |
6485
514.4 IPS |
|
|
Object Detection (HP)
|
100% |
11911
944.8 IPS |
|
|
Object Detection (Q)
|
94% |
11544
920.5 IPS |
|
|
Face Detection (SP)
|
100% |
18799
223.4 IPS |
|
|
Face Detection (HP)
|
100% |
36234
430.5 IPS |
|
|
Face Detection (Q)
|
100% |
33660
400.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
28699
221.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
56371
434.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
56778
443.3 IPS |
|
|
Style Transfer (SP)
|
100% |
80989
104.1 IPS |
|
|
Style Transfer (HP)
|
100% |
188438
242.2 IPS |
|
|
Style Transfer (Q)
|
96% |
221048
285.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
16138
595.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
32730
1.21 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
29770
1.10 KIPS |
|
|
Text Classification (SP)
|
100% |
3028
4.04 KIPS |
|
|
Text Classification (HP)
|
99% |
5564
7.43 KIPS |
|
|
Text Classification (Q)
|
93% |
5625
7.55 KIPS |
|
|
Machine Translation (SP)
|
100% |
7062
121.6 IPS |
|
|
Machine Translation (HP)
|
100% |
8591
148.0 IPS |
|
|
Machine Translation (Q)
|
98% |
7743
133.8 IPS |
