Mac17,2
Geekbench AI Score
5321
Single Precision Score
41254
Half Precision Score
57462
Quantized Score
Geekbench AI 1.6.0 for macOS AArch64
Result Information
| User | z0nked |
| Upload Date | January 31 2026 10:04 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M5 |
| System Information | |
|---|---|
| Operating System | macOS 26.0 (Build 25A8353) |
| 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 | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2284
424.8 IPS |
|
|
Image Classification (HP)
|
100% |
18419
3.43 KIPS |
|
|
Image Classification (Q)
|
97% |
24350
4.54 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2422
39.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
23993
388.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
33675
545.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
10984
12.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
176371
205.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
333826
391.3 IPS |
|
|
Object Detection (SP)
|
100% |
2686
213.1 IPS |
|
|
Object Detection (HP)
|
100% |
18118
1.44 KIPS |
|
|
Object Detection (Q)
|
91% |
26457
2.11 KIPS |
|
|
Face Detection (SP)
|
100% |
4834
57.4 IPS |
|
|
Face Detection (HP)
|
100% |
46920
557.5 IPS |
|
|
Face Detection (Q)
|
100% |
66586
791.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
9103
70.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
111368
858.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
179620
1.40 KIPS |
|
|
Style Transfer (SP)
|
100% |
27553
35.4 IPS |
|
|
Style Transfer (HP)
|
100% |
272250
350.0 IPS |
|
|
Style Transfer (Q)
|
96% |
373296
481.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5991
221.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
63806
2.36 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
101661
3.75 KIPS |
|
|
Text Classification (SP)
|
100% |
3065
4.09 KIPS |
|
|
Text Classification (HP)
|
100% |
6500
8.68 KIPS |
|
|
Text Classification (Q)
|
93% |
6567
8.81 KIPS |
|
|
Machine Translation (SP)
|
100% |
5012
86.3 IPS |
|
|
Machine Translation (HP)
|
100% |
17139
295.2 IPS |
|
|
Machine Translation (Q)
|
98% |
18184
314.2 IPS |
