Mac17,2
Geekbench AI Score
5287
Single Precision Score
42085
Half Precision Score
58901
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | October 27 2025 09:34 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
2273
422.7 IPS |
|
|
Image Classification (HP)
|
100% |
19399
3.61 KIPS |
|
|
Image Classification (Q)
|
97% |
25265
4.71 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2409
39.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
23962
388.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
32878
533.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
10974
12.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
178628
208.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
330399
387.2 IPS |
|
|
Object Detection (SP)
|
100% |
2664
211.3 IPS |
|
|
Object Detection (HP)
|
100% |
18467
1.46 KIPS |
|
|
Object Detection (Q)
|
91% |
27140
2.17 KIPS |
|
|
Face Detection (SP)
|
100% |
4752
56.5 IPS |
|
|
Face Detection (HP)
|
100% |
47017
558.7 IPS |
|
|
Face Detection (Q)
|
100% |
67515
802.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
9100
70.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
111562
859.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
187734
1.47 KIPS |
|
|
Style Transfer (SP)
|
100% |
27256
35.0 IPS |
|
|
Style Transfer (HP)
|
100% |
272846
350.7 IPS |
|
|
Style Transfer (Q)
|
96% |
376460
485.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5998
221.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
64362
2.38 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
101378
3.74 KIPS |
|
|
Text Classification (SP)
|
100% |
2978
3.98 KIPS |
|
|
Text Classification (HP)
|
100% |
6981
9.32 KIPS |
|
|
Text Classification (Q)
|
93% |
7275
9.76 KIPS |
|
|
Machine Translation (SP)
|
100% |
5070
87.3 IPS |
|
|
Machine Translation (HP)
|
100% |
17679
304.5 IPS |
|
|
Machine Translation (Q)
|
98% |
19175
331.4 IPS |
