Mac17,2
Geekbench AI Score
5319
Single Precision Score
42356
Half Precision Score
58463
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | November 12 2025 07:25 AM |
| Views | 2 |
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% |
2271
422.4 IPS |
|
|
Image Classification (HP)
|
100% |
19195
3.57 KIPS |
|
|
Image Classification (Q)
|
97% |
25571
4.77 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2434
39.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
24224
392.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
32840
532.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
10953
12.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
178207
207.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
329935
386.7 IPS |
|
|
Object Detection (SP)
|
100% |
2681
212.6 IPS |
|
|
Object Detection (HP)
|
100% |
18991
1.51 KIPS |
|
|
Object Detection (Q)
|
91% |
26599
2.13 KIPS |
|
|
Face Detection (SP)
|
100% |
4825
57.3 IPS |
|
|
Face Detection (HP)
|
100% |
47268
561.6 IPS |
|
|
Face Detection (Q)
|
100% |
67429
801.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
9121
70.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
111348
857.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
189289
1.48 KIPS |
|
|
Style Transfer (SP)
|
100% |
27463
35.3 IPS |
|
|
Style Transfer (HP)
|
100% |
271065
348.5 IPS |
|
|
Style Transfer (Q)
|
96% |
374070
482.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5993
221.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
65043
2.40 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
103765
3.83 KIPS |
|
|
Text Classification (SP)
|
100% |
3049
4.07 KIPS |
|
|
Text Classification (HP)
|
100% |
7150
9.54 KIPS |
|
|
Text Classification (Q)
|
93% |
6849
9.19 KIPS |
|
|
Machine Translation (SP)
|
100% |
5062
87.2 IPS |
|
|
Machine Translation (HP)
|
100% |
17802
306.7 IPS |
|
|
Machine Translation (Q)
|
98% |
18654
322.4 IPS |
