Mac17,2
Geekbench AI Score
5288
Single Precision Score
42617
Half Precision Score
59898
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | ChiWah |
| Upload Date | October 24 2025 11:21 AM |
| Views | 28 |
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% |
2300
427.8 IPS |
|
|
Image Classification (HP)
|
100% |
18762
3.49 KIPS |
|
|
Image Classification (Q)
|
97% |
26296
4.91 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2374
38.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
24110
390.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
33684
546.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
11012
12.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
178787
208.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
331291
388.3 IPS |
|
|
Object Detection (SP)
|
100% |
2656
210.7 IPS |
|
|
Object Detection (HP)
|
100% |
18999
1.51 KIPS |
|
|
Object Detection (Q)
|
91% |
27820
2.22 KIPS |
|
|
Face Detection (SP)
|
100% |
4726
56.2 IPS |
|
|
Face Detection (HP)
|
100% |
47332
562.4 IPS |
|
|
Face Detection (Q)
|
100% |
67382
800.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8990
69.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
111717
860.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
189233
1.48 KIPS |
|
|
Style Transfer (SP)
|
100% |
27470
35.3 IPS |
|
|
Style Transfer (HP)
|
100% |
272511
350.3 IPS |
|
|
Style Transfer (Q)
|
96% |
375213
484.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5999
221.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
65927
2.43 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
101047
3.73 KIPS |
|
|
Text Classification (SP)
|
100% |
3052
4.07 KIPS |
|
|
Text Classification (HP)
|
100% |
7466
9.97 KIPS |
|
|
Text Classification (Q)
|
93% |
7799
10.5 KIPS |
|
|
Machine Translation (SP)
|
100% |
5018
86.4 IPS |
|
|
Machine Translation (HP)
|
100% |
18136
312.4 IPS |
|
|
Machine Translation (Q)
|
98% |
19314
333.8 IPS |
