Macbook Pro M5 Mac17,2
Geekbench AI Score
13462
Single Precision Score
25109
Half Precision Score
21431
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | avandeputte |
| Upload Date | December 11 2025 07:00 PM |
| Views | 18 |
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 | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6198
1.15 KIPS |
|
|
Image Classification (HP)
|
100% |
10793
2.01 KIPS |
|
|
Image Classification (Q)
|
97% |
9868
1.84 KIPS |
|
|
Image Segmentation (SP)
|
100% |
10145
164.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
16771
271.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
17188
278.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
39418
46.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
102609
119.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
111075
130.2 IPS |
|
|
Object Detection (SP)
|
100% |
6386
506.5 IPS |
|
|
Object Detection (HP)
|
100% |
11438
907.3 IPS |
|
|
Object Detection (Q)
|
93% |
9867
787.2 IPS |
|
|
Face Detection (SP)
|
100% |
17480
207.7 IPS |
|
|
Face Detection (HP)
|
100% |
33108
393.4 IPS |
|
|
Face Detection (Q)
|
100% |
25584
304.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
28457
219.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
54263
418.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
52108
406.8 IPS |
|
|
Style Transfer (SP)
|
100% |
81277
104.5 IPS |
|
|
Style Transfer (HP)
|
100% |
189929
244.2 IPS |
|
|
Style Transfer (Q)
|
96% |
211126
272.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
16533
610.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
32978
1.22 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
30321
1.12 KIPS |
|
|
Text Classification (SP)
|
100% |
2971
3.97 KIPS |
|
|
Text Classification (HP)
|
99% |
5776
7.71 KIPS |
|
|
Text Classification (Q)
|
93% |
5785
7.76 KIPS |
|
|
Machine Translation (SP)
|
100% |
6221
107.2 IPS |
|
|
Machine Translation (HP)
|
100% |
7215
124.3 IPS |
|
|
Machine Translation (Q)
|
98% |
2227
38.5 IPS |
