Mac17,2
Geekbench AI Score
5266
Single Precision Score
40885
Half Precision Score
56948
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | Tom34772 |
| Upload Date | December 31 2025 03:25 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M5 |
| System Information | |
|---|---|
| Operating System | macOS 26.3 (Build 25D5087f) |
| 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 | 4.58 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2249
418.2 IPS |
|
|
Image Classification (HP)
|
100% |
17751
3.30 KIPS |
|
|
Image Classification (Q)
|
97% |
24845
4.64 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2424
39.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
23966
388.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
33721
546.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
10916
12.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
176272
205.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
331792
388.9 IPS |
|
|
Object Detection (SP)
|
100% |
2664
211.3 IPS |
|
|
Object Detection (HP)
|
100% |
18417
1.46 KIPS |
|
|
Object Detection (Q)
|
91% |
26099
2.09 KIPS |
|
|
Face Detection (SP)
|
100% |
4727
56.2 IPS |
|
|
Face Detection (HP)
|
100% |
46604
553.8 IPS |
|
|
Face Detection (Q)
|
100% |
67495
802.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
9074
69.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
109918
846.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
184134
1.44 KIPS |
|
|
Style Transfer (SP)
|
100% |
27341
35.1 IPS |
|
|
Style Transfer (HP)
|
100% |
269398
346.3 IPS |
|
|
Style Transfer (Q)
|
96% |
372112
480.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5957
220.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
62561
2.31 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
98254
3.63 KIPS |
|
|
Text Classification (SP)
|
100% |
2967
3.96 KIPS |
|
|
Text Classification (HP)
|
100% |
6313
8.43 KIPS |
|
|
Text Classification (Q)
|
93% |
5984
8.03 KIPS |
|
|
Machine Translation (SP)
|
100% |
4991
86.0 IPS |
|
|
Machine Translation (HP)
|
100% |
17338
298.6 IPS |
|
|
Machine Translation (Q)
|
98% |
18187
314.3 IPS |
