Mac17,2
Geekbench AI Score
5313
Single Precision Score
42454
Half Precision Score
59432
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | October 30 2025 11:13 PM |
| Views | 2 |
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 | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2285
424.9 IPS |
|
|
Image Classification (HP)
|
100% |
18306
3.40 KIPS |
|
|
Image Classification (Q)
|
97% |
25867
4.83 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2455
39.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
23992
388.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
33608
544.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
10957
12.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
178269
208.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
328951
385.6 IPS |
|
|
Object Detection (SP)
|
100% |
2684
212.9 IPS |
|
|
Object Detection (HP)
|
100% |
18981
1.51 KIPS |
|
|
Object Detection (Q)
|
91% |
27023
2.16 KIPS |
|
|
Face Detection (SP)
|
100% |
4815
57.2 IPS |
|
|
Face Detection (HP)
|
100% |
47380
563.0 IPS |
|
|
Face Detection (Q)
|
100% |
67554
802.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
9160
70.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
111635
860.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
186578
1.46 KIPS |
|
|
Style Transfer (SP)
|
100% |
27287
35.1 IPS |
|
|
Style Transfer (HP)
|
100% |
274133
352.4 IPS |
|
|
Style Transfer (Q)
|
96% |
376785
486.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6073
224.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
66476
2.45 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
104591
3.86 KIPS |
|
|
Text Classification (SP)
|
100% |
3041
4.06 KIPS |
|
|
Text Classification (HP)
|
100% |
7374
9.84 KIPS |
|
|
Text Classification (Q)
|
93% |
7583
10.2 KIPS |
|
|
Machine Translation (SP)
|
100% |
4889
84.2 IPS |
|
|
Machine Translation (HP)
|
100% |
18008
310.2 IPS |
|
|
Machine Translation (Q)
|
98% |
18892
326.5 IPS |
