Mac17,2
Geekbench AI Score
5303
Single Precision Score
8585
Half Precision Score
6866
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | iantm |
| Upload Date | December 31 2025 06:06 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M5 |
| System Information | |
|---|---|
| Operating System | macOS 26.3 (Build 25D5087f) |
| 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% |
2288
425.4 IPS |
|
|
Image Classification (HP)
|
100% |
3660
680.7 IPS |
|
|
Image Classification (Q)
|
96% |
2506
468.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2420
39.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
3583
58.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3894
63.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
10965
12.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
20750
24.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
17827
20.9 IPS |
|
|
Object Detection (SP)
|
100% |
2691
213.4 IPS |
|
|
Object Detection (HP)
|
97% |
4168
331.8 IPS |
|
|
Object Detection (Q)
|
94% |
2955
235.6 IPS |
|
|
Face Detection (SP)
|
100% |
4820
57.3 IPS |
|
|
Face Detection (HP)
|
100% |
8519
101.2 IPS |
|
|
Face Detection (Q)
|
100% |
4820
57.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
9121
70.3 IPS |
|
|
Depth Estimation (HP)
|
97% |
15180
117.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
10642
83.1 IPS |
|
|
Style Transfer (SP)
|
100% |
27385
35.2 IPS |
|
|
Style Transfer (HP)
|
100% |
41411
53.2 IPS |
|
|
Style Transfer (Q)
|
96% |
33840
43.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5969
220.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7158
264.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5170
190.9 IPS |
|
|
Text Classification (SP)
|
100% |
2976
3.97 KIPS |
|
|
Text Classification (HP)
|
99% |
5360
7.15 KIPS |
|
|
Text Classification (Q)
|
93% |
5392
7.24 KIPS |
|
|
Machine Translation (SP)
|
100% |
5042
86.8 IPS |
|
|
Machine Translation (HP)
|
98% |
9336
161.3 IPS |
|
|
Machine Translation (Q)
|
98% |
9365
161.8 IPS |
