Mac17,2
Geekbench AI Score
13382
Single Precision Score
24269
Half Precision Score
23480
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | Haitao |
| Upload Date | October 27 2025 02:19 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M5 |
| System Information | |
|---|---|
| Operating System | macOS 26.1 (Build 25B5072a) |
| Model | Mac17,2 |
| Model ID | Mac17,2 |
| Motherboard | Mac17,2 |
| CPU Information | |
|---|---|
| Name | Apple M5 |
| Topology | 1 Processor, 8 Cores |
| Identifier | Apple M5 |
| Base Frequency | 4.60 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5852
1.09 KIPS |
|
|
Image Classification (HP)
|
100% |
9618
1.79 KIPS |
|
|
Image Classification (Q)
|
97% |
8704
1.62 KIPS |
|
|
Image Segmentation (SP)
|
100% |
10232
165.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
16754
271.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
17277
280.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
39487
46.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
102830
120.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
111033
130.1 IPS |
|
|
Object Detection (SP)
|
100% |
6368
505.1 IPS |
|
|
Object Detection (HP)
|
100% |
11330
898.7 IPS |
|
|
Object Detection (Q)
|
93% |
9637
768.8 IPS |
|
|
Face Detection (SP)
|
100% |
18476
219.5 IPS |
|
|
Face Detection (HP)
|
100% |
33453
397.5 IPS |
|
|
Face Detection (Q)
|
100% |
26781
318.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
28383
218.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
55494
427.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
52634
410.9 IPS |
|
|
Style Transfer (SP)
|
100% |
81774
105.1 IPS |
|
|
Style Transfer (HP)
|
100% |
188945
242.9 IPS |
|
|
Style Transfer (Q)
|
96% |
208448
269.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15895
586.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
30304
1.12 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
29421
1.09 KIPS |
|
|
Text Classification (SP)
|
100% |
3016
4.03 KIPS |
|
|
Text Classification (HP)
|
99% |
5451
7.28 KIPS |
|
|
Text Classification (Q)
|
93% |
5615
7.54 KIPS |
|
|
Machine Translation (SP)
|
100% |
5951
102.5 IPS |
|
|
Machine Translation (HP)
|
100% |
6516
112.2 IPS |
|
|
Machine Translation (Q)
|
98% |
6521
112.7 IPS |
