Mac17,2
Geekbench AI Score
5279
Single Precision Score
42102
Half Precision Score
58932
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | November 06 2025 08:16 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M5 |
| System Information | |
|---|---|
| Operating System | macOS 26.1 (Build 25B78) |
| 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% |
2285
424.9 IPS |
|
|
Image Classification (HP)
|
100% |
18685
3.47 KIPS |
|
|
Image Classification (Q)
|
97% |
26223
4.89 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2402
38.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
24227
392.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
33806
548.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
11175
13.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
177762
207.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
328971
385.6 IPS |
|
|
Object Detection (SP)
|
100% |
2654
210.5 IPS |
|
|
Object Detection (HP)
|
100% |
18135
1.44 KIPS |
|
|
Object Detection (Q)
|
91% |
27443
2.19 KIPS |
|
|
Face Detection (SP)
|
100% |
4625
55.0 IPS |
|
|
Face Detection (HP)
|
100% |
47074
559.3 IPS |
|
|
Face Detection (Q)
|
100% |
67901
806.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
9111
70.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
113607
875.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
188843
1.48 KIPS |
|
|
Style Transfer (SP)
|
100% |
27441
35.3 IPS |
|
|
Style Transfer (HP)
|
100% |
271450
349.0 IPS |
|
|
Style Transfer (Q)
|
96% |
368205
475.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6005
221.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
63393
2.34 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
101374
3.74 KIPS |
|
|
Text Classification (SP)
|
100% |
2965
3.96 KIPS |
|
|
Text Classification (HP)
|
100% |
7403
9.88 KIPS |
|
|
Text Classification (Q)
|
93% |
6956
9.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
5022
86.5 IPS |
|
|
Machine Translation (HP)
|
100% |
17603
303.2 IPS |
|
|
Machine Translation (Q)
|
98% |
18964
327.7 IPS |
