Mac17,2
Geekbench AI Score
13589
Single Precision Score
25591
Half Precision Score
24504
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | DaMoisture |
| Upload Date | December 05 2025 09:19 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M5 |
| System Information | |
|---|---|
| Operating System | macOS 26.1 (Build 25B78) |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6302
1.17 KIPS |
|
|
Image Classification (HP)
|
100% |
10782
2.01 KIPS |
|
|
Image Classification (Q)
|
97% |
9943
1.86 KIPS |
|
|
Image Segmentation (SP)
|
100% |
10262
166.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
16834
272.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
17322
280.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
39676
46.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
103783
121.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
111937
131.2 IPS |
|
|
Object Detection (SP)
|
100% |
6474
513.5 IPS |
|
|
Object Detection (HP)
|
100% |
11775
934.0 IPS |
|
|
Object Detection (Q)
|
93% |
9967
795.1 IPS |
|
|
Face Detection (SP)
|
100% |
18831
223.8 IPS |
|
|
Face Detection (HP)
|
100% |
34132
405.6 IPS |
|
|
Face Detection (Q)
|
100% |
26910
319.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
28676
220.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
56278
433.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
53343
416.5 IPS |
|
|
Style Transfer (SP)
|
100% |
76145
97.9 IPS |
|
|
Style Transfer (HP)
|
100% |
190731
245.2 IPS |
|
|
Style Transfer (Q)
|
96% |
211009
272.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
16280
601.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
33017
1.22 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
30151
1.11 KIPS |
|
|
Text Classification (SP)
|
100% |
3057
4.08 KIPS |
|
|
Text Classification (HP)
|
99% |
5668
7.57 KIPS |
|
|
Text Classification (Q)
|
93% |
5678
7.62 KIPS |
|
|
Machine Translation (SP)
|
100% |
6321
108.9 IPS |
|
|
Machine Translation (HP)
|
100% |
7923
136.5 IPS |
|
|
Machine Translation (Q)
|
98% |
7833
135.4 IPS |
