Mac17,2
Geekbench AI Score
5351
Single Precision Score
42025
Half Precision Score
58240
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | November 11 2025 03:30 PM |
| 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 | 4.59 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2295
426.8 IPS |
|
|
Image Classification (HP)
|
100% |
18405
3.42 KIPS |
|
|
Image Classification (Q)
|
97% |
24196
4.52 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2430
39.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
23991
388.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
33711
546.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
11313
13.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
176203
205.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
329848
386.6 IPS |
|
|
Object Detection (SP)
|
100% |
2696
213.8 IPS |
|
|
Object Detection (HP)
|
100% |
18183
1.44 KIPS |
|
|
Object Detection (Q)
|
91% |
26732
2.14 KIPS |
|
|
Face Detection (SP)
|
100% |
4890
58.1 IPS |
|
|
Face Detection (HP)
|
100% |
47894
569.1 IPS |
|
|
Face Detection (Q)
|
100% |
68078
808.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
9196
70.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
110747
853.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
177693
1.39 KIPS |
|
|
Style Transfer (SP)
|
100% |
27710
35.6 IPS |
|
|
Style Transfer (HP)
|
100% |
271294
348.8 IPS |
|
|
Style Transfer (Q)
|
96% |
372373
480.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5900
217.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
63954
2.36 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
102558
3.79 KIPS |
|
|
Text Classification (SP)
|
100% |
3045
4.06 KIPS |
|
|
Text Classification (HP)
|
100% |
7460
9.96 KIPS |
|
|
Text Classification (Q)
|
93% |
7157
9.60 KIPS |
|
|
Machine Translation (SP)
|
100% |
5056
87.1 IPS |
|
|
Machine Translation (HP)
|
100% |
17693
304.8 IPS |
|
|
Machine Translation (Q)
|
98% |
18881
326.3 IPS |
