Mac17,2
Geekbench AI Score
13289
Single Precision Score
24800
Half Precision Score
23572
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| Upload Date | October 18 2025 03:50 PM |
| Views | 5 |
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 | 4.61 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6348
1.18 KIPS |
|
|
Image Classification (HP)
|
100% |
11293
2.10 KIPS |
|
|
Image Classification (Q)
|
97% |
9983
1.86 KIPS |
|
|
Image Segmentation (SP)
|
100% |
10172
164.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
16813
272.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
17259
279.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
39574
46.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
103198
120.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
111591
130.8 IPS |
|
|
Object Detection (SP)
|
100% |
6450
511.6 IPS |
|
|
Object Detection (HP)
|
100% |
11777
934.1 IPS |
|
|
Object Detection (Q)
|
93% |
10090
805.0 IPS |
|
|
Face Detection (SP)
|
100% |
18598
221.0 IPS |
|
|
Face Detection (HP)
|
100% |
34387
408.6 IPS |
|
|
Face Detection (Q)
|
100% |
26877
319.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
28578
220.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
55875
430.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
53195
415.3 IPS |
|
|
Style Transfer (SP)
|
100% |
82314
105.8 IPS |
|
|
Style Transfer (HP)
|
100% |
190827
245.3 IPS |
|
|
Style Transfer (Q)
|
96% |
210903
272.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
16359
604.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
33323
1.23 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
30322
1.12 KIPS |
|
|
Text Classification (SP)
|
100% |
2319
3.10 KIPS |
|
|
Text Classification (HP)
|
99% |
5620
7.50 KIPS |
|
|
Text Classification (Q)
|
93% |
5396
7.24 KIPS |
|
|
Machine Translation (SP)
|
100% |
6283
108.2 IPS |
|
|
Machine Translation (HP)
|
100% |
5555
95.7 IPS |
|
|
Machine Translation (Q)
|
98% |
5534
95.6 IPS |
