Mac17,2
Geekbench AI Score
5354
Single Precision Score
41378
Half Precision Score
58281
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | November 07 2025 02:06 AM |
| Views | 4 |
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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2287
425.4 IPS |
|
|
Image Classification (HP)
|
100% |
18431
3.43 KIPS |
|
|
Image Classification (Q)
|
97% |
24354
4.54 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2419
39.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
24271
393.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
33748
547.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
11307
13.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
178120
207.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
333888
391.3 IPS |
|
|
Object Detection (SP)
|
100% |
2692
213.5 IPS |
|
|
Object Detection (HP)
|
100% |
17929
1.42 KIPS |
|
|
Object Detection (Q)
|
91% |
26608
2.13 KIPS |
|
|
Face Detection (SP)
|
100% |
4880
58.0 IPS |
|
|
Face Detection (HP)
|
100% |
47075
559.4 IPS |
|
|
Face Detection (Q)
|
100% |
66426
789.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
9146
70.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
110790
853.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
176445
1.38 KIPS |
|
|
Style Transfer (SP)
|
100% |
27558
35.4 IPS |
|
|
Style Transfer (HP)
|
100% |
272133
349.8 IPS |
|
|
Style Transfer (Q)
|
96% |
375823
485.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5982
220.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
63043
2.33 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
101502
3.75 KIPS |
|
|
Text Classification (SP)
|
100% |
3078
4.11 KIPS |
|
|
Text Classification (HP)
|
100% |
6502
8.68 KIPS |
|
|
Text Classification (Q)
|
93% |
7304
9.80 KIPS |
|
|
Machine Translation (SP)
|
100% |
5082
87.5 IPS |
|
|
Machine Translation (HP)
|
100% |
17704
305.0 IPS |
|
|
Machine Translation (Q)
|
98% |
18963
327.7 IPS |
