Mac17,2
Geekbench AI Score
5365
Single Precision Score
8664
Half Precision Score
6924
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | November 06 2025 04:29 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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 | 4.61 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
425.6 IPS |
|
|
Image Classification (HP)
|
100% |
3649
678.7 IPS |
|
|
Image Classification (Q)
|
96% |
2520
470.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2444
39.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
3556
57.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3912
63.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
11339
13.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
20801
24.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
17895
21.0 IPS |
|
|
Object Detection (SP)
|
100% |
2692
213.5 IPS |
|
|
Object Detection (HP)
|
97% |
4235
337.1 IPS |
|
|
Object Detection (Q)
|
94% |
2988
238.2 IPS |
|
|
Face Detection (SP)
|
100% |
4896
58.2 IPS |
|
|
Face Detection (HP)
|
100% |
8636
102.6 IPS |
|
|
Face Detection (Q)
|
100% |
4884
58.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
9171
70.7 IPS |
|
|
Depth Estimation (HP)
|
97% |
15233
117.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
10576
82.5 IPS |
|
|
Style Transfer (SP)
|
100% |
27387
35.2 IPS |
|
|
Style Transfer (HP)
|
100% |
41651
53.5 IPS |
|
|
Style Transfer (Q)
|
96% |
34133
44.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5931
219.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7204
266.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5179
191.2 IPS |
|
|
Text Classification (SP)
|
100% |
3099
4.14 KIPS |
|
|
Text Classification (HP)
|
99% |
5614
7.49 KIPS |
|
|
Text Classification (Q)
|
93% |
5611
7.53 KIPS |
|
|
Machine Translation (SP)
|
100% |
5126
88.3 IPS |
|
|
Machine Translation (HP)
|
98% |
9413
162.7 IPS |
|
|
Machine Translation (Q)
|
98% |
9390
162.3 IPS |
