Mac17,2
Geekbench AI Score
4735
Single Precision Score
41939
Half Precision Score
58779
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | October 24 2025 10:36 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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 | 4.51 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2036
378.6 IPS |
|
|
Image Classification (HP)
|
100% |
18579
3.46 KIPS |
|
|
Image Classification (Q)
|
97% |
26533
4.95 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2125
34.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
24144
391.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
33018
535.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
8978
10.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
172306
201.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
321127
376.4 IPS |
|
|
Object Detection (SP)
|
100% |
2422
192.1 IPS |
|
|
Object Detection (HP)
|
100% |
19869
1.58 KIPS |
|
|
Object Detection (Q)
|
91% |
27654
2.21 KIPS |
|
|
Face Detection (SP)
|
100% |
4140
49.2 IPS |
|
|
Face Detection (HP)
|
100% |
47057
559.1 IPS |
|
|
Face Detection (Q)
|
100% |
67304
799.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8266
63.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
108709
837.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
192148
1.50 KIPS |
|
|
Style Transfer (SP)
|
100% |
23280
29.9 IPS |
|
|
Style Transfer (HP)
|
100% |
265745
341.6 IPS |
|
|
Style Transfer (Q)
|
96% |
363197
468.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5463
201.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
63501
2.34 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
101389
3.74 KIPS |
|
|
Text Classification (SP)
|
100% |
3078
4.11 KIPS |
|
|
Text Classification (HP)
|
100% |
7158
9.55 KIPS |
|
|
Text Classification (Q)
|
93% |
7331
9.84 KIPS |
|
|
Machine Translation (SP)
|
100% |
4502
77.6 IPS |
|
|
Machine Translation (HP)
|
100% |
17740
305.6 IPS |
|
|
Machine Translation (Q)
|
98% |
18128
313.3 IPS |
