Mac17,2
Geekbench AI Score
4802
Single Precision Score
40796
Half Precision Score
57689
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | iantm |
| Upload Date | December 03 2025 12:42 AM |
| Views | 14 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M5 |
| System Information | |
|---|---|
| Operating System | macOS 26.2 (Build 25C5048a) |
| 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% |
2112
392.8 IPS |
|
|
Image Classification (HP)
|
100% |
18141
3.37 KIPS |
|
|
Image Classification (Q)
|
97% |
27059
5.05 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2344
38.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
23424
379.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
32976
534.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
9025
10.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
176951
206.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
328348
384.8 IPS |
|
|
Object Detection (SP)
|
100% |
2467
195.7 IPS |
|
|
Object Detection (HP)
|
100% |
19814
1.57 KIPS |
|
|
Object Detection (Q)
|
91% |
26547
2.12 KIPS |
|
|
Face Detection (SP)
|
100% |
4180
49.7 IPS |
|
|
Face Detection (HP)
|
100% |
46477
552.2 IPS |
|
|
Face Detection (Q)
|
100% |
66068
785.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8563
66.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
109866
846.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
187191
1.46 KIPS |
|
|
Style Transfer (SP)
|
100% |
23622
30.4 IPS |
|
|
Style Transfer (HP)
|
100% |
269384
346.3 IPS |
|
|
Style Transfer (Q)
|
96% |
371595
479.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5753
212.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
65382
2.41 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
103617
3.83 KIPS |
|
|
Text Classification (SP)
|
100% |
2809
3.75 KIPS |
|
|
Text Classification (HP)
|
100% |
6062
8.09 KIPS |
|
|
Text Classification (Q)
|
93% |
6470
8.68 KIPS |
|
|
Machine Translation (SP)
|
100% |
4330
74.6 IPS |
|
|
Machine Translation (HP)
|
100% |
15723
270.8 IPS |
|
|
Machine Translation (Q)
|
98% |
17039
294.5 IPS |
