Mac17,2
Geekbench AI Score
13623
Single Precision Score
25551
Half Precision Score
24384
Quantized Score
Geekbench AI 1.6.0 for macOS AArch64
Result Information
| User | harman767 |
| Upload Date | January 05 2026 12:08 AM |
| Views | 5 |
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 | 4.60 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6286
1.17 KIPS |
|
|
Image Classification (HP)
|
100% |
11079
2.06 KIPS |
|
|
Image Classification (Q)
|
97% |
9675
1.81 KIPS |
|
|
Image Segmentation (SP)
|
100% |
10168
164.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
16729
271.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
17256
279.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
39516
46.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
102359
119.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
111393
130.6 IPS |
|
|
Object Detection (SP)
|
100% |
6452
511.8 IPS |
|
|
Object Detection (HP)
|
100% |
11754
932.3 IPS |
|
|
Object Detection (Q)
|
93% |
10038
800.8 IPS |
|
|
Face Detection (SP)
|
100% |
18387
218.5 IPS |
|
|
Face Detection (HP)
|
100% |
34052
404.6 IPS |
|
|
Face Detection (Q)
|
100% |
26535
315.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
28594
220.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
55755
429.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
52634
410.9 IPS |
|
|
Style Transfer (SP)
|
100% |
81663
105.0 IPS |
|
|
Style Transfer (HP)
|
100% |
190473
244.9 IPS |
|
|
Style Transfer (Q)
|
96% |
210995
272.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
16288
601.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
33102
1.22 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
30543
1.13 KIPS |
|
|
Text Classification (SP)
|
100% |
3056
4.08 KIPS |
|
|
Text Classification (HP)
|
99% |
5658
7.55 KIPS |
|
|
Text Classification (Q)
|
93% |
5628
7.55 KIPS |
|
|
Machine Translation (SP)
|
100% |
6326
109.0 IPS |
|
|
Machine Translation (HP)
|
100% |
7854
135.3 IPS |
|
|
Machine Translation (Q)
|
98% |
7859
135.8 IPS |
