Mac17,4
Geekbench AI Score
5227
Single Precision Score
41323
Half Precision Score
57248
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| Upload Date | March 09 2026 11:33 AM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M5 |
| System Information | |
|---|---|
| Operating System | macOS 26.3.1 (Build 25D2128) |
| Model | Mac17,4 |
| Model ID | Mac17,4 |
| Motherboard | Mac17,4 |
| CPU Information | |
|---|---|
| Name | Apple M5 |
| Topology | 1 Processor, 10 Cores |
| Identifier | Apple M5 |
| Base Frequency | 4.45 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2289
425.7 IPS |
|
|
Image Classification (HP)
|
100% |
18533
3.45 KIPS |
|
|
Image Classification (Q)
|
97% |
24345
4.54 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2174
35.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
23954
388.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
33136
537.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
10964
12.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
177262
206.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
330169
387.0 IPS |
|
|
Object Detection (SP)
|
100% |
2645
209.8 IPS |
|
|
Object Detection (HP)
|
100% |
17942
1.42 KIPS |
|
|
Object Detection (Q)
|
91% |
26490
2.12 KIPS |
|
|
Face Detection (SP)
|
100% |
4745
56.4 IPS |
|
|
Face Detection (HP)
|
100% |
46991
558.4 IPS |
|
|
Face Detection (Q)
|
100% |
66148
786.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
9106
70.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
110844
854.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
177208
1.39 KIPS |
|
|
Style Transfer (SP)
|
100% |
26946
34.6 IPS |
|
|
Style Transfer (HP)
|
100% |
271176
348.6 IPS |
|
|
Style Transfer (Q)
|
96% |
372650
480.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5978
220.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
63265
2.34 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
100171
3.70 KIPS |
|
|
Text Classification (SP)
|
100% |
3038
4.05 KIPS |
|
|
Text Classification (HP)
|
100% |
6523
8.71 KIPS |
|
|
Text Classification (Q)
|
93% |
6648
8.92 KIPS |
|
|
Machine Translation (SP)
|
100% |
4990
86.0 IPS |
|
|
Machine Translation (HP)
|
100% |
17644
303.9 IPS |
|
|
Machine Translation (Q)
|
98% |
18424
318.4 IPS |
