Mac17,2
Geekbench AI Score
5274
Single Precision Score
42437
Half Precision Score
59790
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | October 23 2025 02:02 PM |
| Views | 3 |
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 | 4.61 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2212
411.3 IPS |
|
|
Image Classification (HP)
|
100% |
19211
3.57 KIPS |
|
|
Image Classification (Q)
|
97% |
27036
5.05 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2408
39.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
24330
394.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
34234
555.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
11216
13.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
177873
207.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
331952
389.1 IPS |
|
|
Object Detection (SP)
|
100% |
2647
209.9 IPS |
|
|
Object Detection (HP)
|
100% |
18315
1.45 KIPS |
|
|
Object Detection (Q)
|
91% |
27431
2.19 KIPS |
|
|
Face Detection (SP)
|
100% |
4698
55.8 IPS |
|
|
Face Detection (HP)
|
100% |
47018
558.7 IPS |
|
|
Face Detection (Q)
|
100% |
68406
812.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
9064
69.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
112316
865.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
190951
1.49 KIPS |
|
|
Style Transfer (SP)
|
100% |
27165
34.9 IPS |
|
|
Style Transfer (HP)
|
100% |
271500
349.0 IPS |
|
|
Style Transfer (Q)
|
96% |
372684
480.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6011
222.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
66996
2.47 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
103000
3.80 KIPS |
|
|
Text Classification (SP)
|
100% |
2996
4.00 KIPS |
|
|
Text Classification (HP)
|
100% |
7207
9.62 KIPS |
|
|
Text Classification (Q)
|
93% |
7374
9.90 KIPS |
|
|
Machine Translation (SP)
|
100% |
5061
87.2 IPS |
|
|
Machine Translation (HP)
|
100% |
17974
309.6 IPS |
|
|
Machine Translation (Q)
|
98% |
18736
323.8 IPS |
