Mac17,2
Geekbench AI Score
13217
Single Precision Score
24841
Half Precision Score
23717
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | October 29 2025 09:44 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M5 |
| System Information | |
|---|---|
| Operating System | macOS 26.0.1 (Build 25A8364) |
| 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% |
6357
1.18 KIPS |
|
|
Image Classification (HP)
|
100% |
11239
2.09 KIPS |
|
|
Image Classification (Q)
|
97% |
10004
1.87 KIPS |
|
|
Image Segmentation (SP)
|
100% |
10234
165.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
16745
271.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
17272
280.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
39641
46.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
103524
120.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
111769
131.0 IPS |
|
|
Object Detection (SP)
|
100% |
6471
513.3 IPS |
|
|
Object Detection (HP)
|
100% |
12007
952.4 IPS |
|
|
Object Detection (Q)
|
93% |
10231
816.2 IPS |
|
|
Face Detection (SP)
|
100% |
18691
222.1 IPS |
|
|
Face Detection (HP)
|
100% |
34252
407.0 IPS |
|
|
Face Detection (Q)
|
100% |
26800
318.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
28653
220.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
56179
432.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
53411
417.0 IPS |
|
|
Style Transfer (SP)
|
100% |
82158
105.6 IPS |
|
|
Style Transfer (HP)
|
100% |
190449
244.8 IPS |
|
|
Style Transfer (Q)
|
96% |
210876
272.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
16108
594.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
33128
1.22 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
30252
1.12 KIPS |
|
|
Text Classification (SP)
|
100% |
2168
2.89 KIPS |
|
|
Text Classification (HP)
|
99% |
5661
7.56 KIPS |
|
|
Text Classification (Q)
|
93% |
5641
7.57 KIPS |
|
|
Machine Translation (SP)
|
100% |
6348
109.3 IPS |
|
|
Machine Translation (HP)
|
100% |
5566
95.9 IPS |
|
|
Machine Translation (Q)
|
98% |
5533
95.6 IPS |
