Mac17,2
Geekbench AI Score
5221
Single Precision Score
42831
Half Precision Score
59064
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| Upload Date | November 14 2025 08:34 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M5 |
| System Information | |
|---|---|
| Operating System | macOS 26.1 (Build 25B78) |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2253
418.9 IPS |
|
|
Image Classification (HP)
|
100% |
18827
3.50 KIPS |
|
|
Image Classification (Q)
|
97% |
25248
4.71 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2470
40.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
24005
389.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
33838
548.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
10708
12.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
178206
207.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
331828
388.9 IPS |
|
|
Object Detection (SP)
|
100% |
2565
203.4 IPS |
|
|
Object Detection (HP)
|
100% |
19979
1.58 KIPS |
|
|
Object Detection (Q)
|
91% |
26758
2.14 KIPS |
|
|
Face Detection (SP)
|
100% |
4363
51.8 IPS |
|
|
Face Detection (HP)
|
100% |
47824
568.3 IPS |
|
|
Face Detection (Q)
|
100% |
67402
800.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
9020
69.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
112671
868.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
193801
1.52 KIPS |
|
|
Style Transfer (SP)
|
100% |
27542
35.4 IPS |
|
|
Style Transfer (HP)
|
100% |
272294
350.0 IPS |
|
|
Style Transfer (Q)
|
96% |
373326
481.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5957
220.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
66860
2.47 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
102605
3.79 KIPS |
|
|
Text Classification (SP)
|
100% |
3085
4.12 KIPS |
|
|
Text Classification (HP)
|
100% |
7216
9.63 KIPS |
|
|
Text Classification (Q)
|
93% |
7170
9.62 KIPS |
|
|
Machine Translation (SP)
|
100% |
4946
85.2 IPS |
|
|
Machine Translation (HP)
|
100% |
18241
314.2 IPS |
|
|
Machine Translation (Q)
|
98% |
18987
328.1 IPS |
