Mac17,2
Geekbench AI Score
5348
Single Precision Score
8723
Half Precision Score
6881
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | mfc1992 |
| Upload Date | February 24 2026 12:39 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M5 |
| System Information | |
|---|---|
| Operating System | macOS 26.3 (Build 25D125) |
| 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% |
2297
427.1 IPS |
|
|
Image Classification (HP)
|
100% |
3735
694.6 IPS |
|
|
Image Classification (Q)
|
96% |
2532
472.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2411
39.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
3509
56.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3870
62.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
11227
13.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
20855
24.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
17768
20.8 IPS |
|
|
Object Detection (SP)
|
100% |
2677
212.3 IPS |
|
|
Object Detection (HP)
|
97% |
4200
334.4 IPS |
|
|
Object Detection (Q)
|
94% |
2961
236.1 IPS |
|
|
Face Detection (SP)
|
100% |
4802
57.1 IPS |
|
|
Face Detection (HP)
|
100% |
8562
101.7 IPS |
|
|
Face Detection (Q)
|
100% |
4799
57.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
9158
70.6 IPS |
|
|
Depth Estimation (HP)
|
97% |
15284
118.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
10611
82.8 IPS |
|
|
Style Transfer (SP)
|
100% |
27202
35.0 IPS |
|
|
Style Transfer (HP)
|
100% |
41398
53.2 IPS |
|
|
Style Transfer (Q)
|
96% |
33802
43.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6004
221.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7252
267.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5171
190.9 IPS |
|
|
Text Classification (SP)
|
100% |
3089
4.12 KIPS |
|
|
Text Classification (HP)
|
99% |
5773
7.71 KIPS |
|
|
Text Classification (Q)
|
93% |
5532
7.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
5188
89.4 IPS |
|
|
Machine Translation (HP)
|
98% |
9805
169.4 IPS |
|
|
Machine Translation (Q)
|
98% |
9386
162.2 IPS |
