Mac17,2
Geekbench AI Score
5330
Single Precision Score
42151
Half Precision Score
58872
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | November 06 2025 09:23 PM |
| Views | 6 |
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 | 4.60 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2293
426.3 IPS |
|
|
Image Classification (HP)
|
100% |
18787
3.49 KIPS |
|
|
Image Classification (Q)
|
97% |
26098
4.87 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2461
39.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
24292
393.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
33747
547.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
11009
12.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
176257
205.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
329140
385.8 IPS |
|
|
Object Detection (SP)
|
100% |
2673
212.0 IPS |
|
|
Object Detection (HP)
|
100% |
18585
1.47 KIPS |
|
|
Object Detection (Q)
|
91% |
26646
2.13 KIPS |
|
|
Face Detection (SP)
|
100% |
4790
56.9 IPS |
|
|
Face Detection (HP)
|
100% |
47071
559.3 IPS |
|
|
Face Detection (Q)
|
100% |
66933
795.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
9147
70.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
111602
859.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
189606
1.48 KIPS |
|
|
Style Transfer (SP)
|
100% |
27544
35.4 IPS |
|
|
Style Transfer (HP)
|
100% |
271232
348.7 IPS |
|
|
Style Transfer (Q)
|
96% |
373812
482.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5997
221.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
63689
2.35 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
101206
3.74 KIPS |
|
|
Text Classification (SP)
|
100% |
3043
4.06 KIPS |
|
|
Text Classification (HP)
|
100% |
7353
9.81 KIPS |
|
|
Text Classification (Q)
|
93% |
7260
9.74 KIPS |
|
|
Machine Translation (SP)
|
100% |
5069
87.3 IPS |
|
|
Machine Translation (HP)
|
100% |
17751
305.8 IPS |
|
|
Machine Translation (Q)
|
98% |
18576
321.0 IPS |
