Mac17,2
Geekbench AI Score
5255
Single Precision Score
42071
Half Precision Score
58870
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | angelsherwin |
| Upload Date | October 19 2025 05:04 AM |
| Views | 13 |
| Notes | MBP 14, M5 |
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 | 4.60 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2269
422.0 IPS |
|
|
Image Classification (HP)
|
100% |
18545
3.45 KIPS |
|
|
Image Classification (Q)
|
97% |
26224
4.89 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2416
39.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
24123
391.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
32936
533.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
11002
12.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
177641
207.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
333808
391.2 IPS |
|
|
Object Detection (SP)
|
100% |
2638
209.2 IPS |
|
|
Object Detection (HP)
|
100% |
19257
1.53 KIPS |
|
|
Object Detection (Q)
|
91% |
27489
2.20 KIPS |
|
|
Face Detection (SP)
|
100% |
4665
55.4 IPS |
|
|
Face Detection (HP)
|
100% |
47285
561.9 IPS |
|
|
Face Detection (Q)
|
100% |
68018
808.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
9065
69.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
113229
872.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
190730
1.49 KIPS |
|
|
Style Transfer (SP)
|
100% |
27143
34.9 IPS |
|
|
Style Transfer (HP)
|
100% |
271326
348.8 IPS |
|
|
Style Transfer (Q)
|
96% |
370568
478.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5977
220.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
65118
2.40 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
102108
3.77 KIPS |
|
|
Text Classification (SP)
|
100% |
2958
3.95 KIPS |
|
|
Text Classification (HP)
|
100% |
6732
8.98 KIPS |
|
|
Text Classification (Q)
|
93% |
6882
9.24 KIPS |
|
|
Machine Translation (SP)
|
100% |
4979
85.8 IPS |
|
|
Machine Translation (HP)
|
100% |
17825
307.0 IPS |
|
|
Machine Translation (Q)
|
98% |
18675
322.7 IPS |
