Mac17,2
Geekbench AI Score
13212
Single Precision Score
24724
Half Precision Score
23716
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | October 23 2025 12:20 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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 | 4.60 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6314
1.17 KIPS |
|
|
Image Classification (HP)
|
100% |
11139
2.07 KIPS |
|
|
Image Classification (Q)
|
97% |
9940
1.86 KIPS |
|
|
Image Segmentation (SP)
|
100% |
10230
165.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
16693
270.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
17274
280.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
39505
46.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
103015
120.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
111606
130.8 IPS |
|
|
Object Detection (SP)
|
100% |
6459
512.3 IPS |
|
|
Object Detection (HP)
|
100% |
11763
933.0 IPS |
|
|
Object Detection (Q)
|
93% |
10169
811.2 IPS |
|
|
Face Detection (SP)
|
100% |
18436
219.1 IPS |
|
|
Face Detection (HP)
|
100% |
34194
406.3 IPS |
|
|
Face Detection (Q)
|
100% |
26782
318.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
28590
220.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
55816
430.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
53216
415.5 IPS |
|
|
Style Transfer (SP)
|
100% |
81998
105.4 IPS |
|
|
Style Transfer (HP)
|
100% |
190358
244.7 IPS |
|
|
Style Transfer (Q)
|
96% |
210765
272.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
16306
602.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
33390
1.23 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
30654
1.13 KIPS |
|
|
Text Classification (SP)
|
100% |
2198
2.93 KIPS |
|
|
Text Classification (HP)
|
99% |
5610
7.49 KIPS |
|
|
Text Classification (Q)
|
93% |
5644
7.57 KIPS |
|
|
Machine Translation (SP)
|
100% |
6348
109.3 IPS |
|
|
Machine Translation (HP)
|
100% |
5566
95.9 IPS |
|
|
Machine Translation (Q)
|
98% |
5558
96.0 IPS |
