Mac17,2
Geekbench AI Score
13283
Single Precision Score
24724
Half Precision Score
23648
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | October 22 2025 08:54 PM |
| Views | 3 |
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% |
6165
1.15 KIPS |
|
|
Image Classification (HP)
|
100% |
10971
2.04 KIPS |
|
|
Image Classification (Q)
|
97% |
9896
1.85 KIPS |
|
|
Image Segmentation (SP)
|
100% |
10245
166.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
16826
272.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
17355
281.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
39636
46.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
103510
120.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
111324
130.5 IPS |
|
|
Object Detection (SP)
|
100% |
6462
512.5 IPS |
|
|
Object Detection (HP)
|
100% |
11771
933.7 IPS |
|
|
Object Detection (Q)
|
93% |
10311
822.6 IPS |
|
|
Face Detection (SP)
|
100% |
18976
225.5 IPS |
|
|
Face Detection (HP)
|
100% |
34072
404.9 IPS |
|
|
Face Detection (Q)
|
100% |
26695
317.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
28544
219.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
55265
425.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
52566
410.4 IPS |
|
|
Style Transfer (SP)
|
100% |
82233
105.7 IPS |
|
|
Style Transfer (HP)
|
100% |
191336
246.0 IPS |
|
|
Style Transfer (Q)
|
96% |
212079
273.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
16356
604.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
33339
1.23 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
29405
1.09 KIPS |
|
|
Text Classification (SP)
|
100% |
2277
3.04 KIPS |
|
|
Text Classification (HP)
|
99% |
5680
7.58 KIPS |
|
|
Text Classification (Q)
|
93% |
5696
7.64 KIPS |
|
|
Machine Translation (SP)
|
100% |
6376
109.8 IPS |
|
|
Machine Translation (HP)
|
100% |
5564
95.8 IPS |
|
|
Machine Translation (Q)
|
98% |
5567
96.2 IPS |
