Mac17,2
Geekbench AI Score
13125
Single Precision Score
25377
Half Precision Score
24269
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | Bierre |
| Upload Date | February 02 2026 09:17 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M5 |
| System Information | |
|---|---|
| Operating System | macOS 26.2 (Build 25C56) |
| 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% |
4513
839.2 IPS |
|
|
Image Classification (HP)
|
100% |
10672
1.98 KIPS |
|
|
Image Classification (Q)
|
97% |
9914
1.85 KIPS |
|
|
Image Segmentation (SP)
|
100% |
10139
164.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
16915
274.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
17283
280.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
39485
46.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
103164
120.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
112093
131.4 IPS |
|
|
Object Detection (SP)
|
100% |
6474
513.6 IPS |
|
|
Object Detection (HP)
|
100% |
11709
928.8 IPS |
|
|
Object Detection (Q)
|
93% |
10179
812.0 IPS |
|
|
Face Detection (SP)
|
100% |
18305
217.5 IPS |
|
|
Face Detection (HP)
|
100% |
33771
401.3 IPS |
|
|
Face Detection (Q)
|
100% |
26731
317.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
28664
220.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
55675
428.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
52797
412.2 IPS |
|
|
Style Transfer (SP)
|
100% |
81870
105.2 IPS |
|
|
Style Transfer (HP)
|
100% |
190296
244.6 IPS |
|
|
Style Transfer (Q)
|
96% |
200968
259.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
16201
598.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
33264
1.23 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
30228
1.12 KIPS |
|
|
Text Classification (SP)
|
100% |
2992
3.99 KIPS |
|
|
Text Classification (HP)
|
99% |
5554
7.41 KIPS |
|
|
Text Classification (Q)
|
93% |
5493
7.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
6231
107.3 IPS |
|
|
Machine Translation (HP)
|
100% |
7686
132.4 IPS |
|
|
Machine Translation (Q)
|
98% |
7700
133.1 IPS |
