Mac17,2
Geekbench AI Score
5286
Single Precision Score
41481
Half Precision Score
57997
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | November 08 2025 02:15 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 | 4.60 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2307
429.0 IPS |
|
|
Image Classification (HP)
|
100% |
18596
3.46 KIPS |
|
|
Image Classification (Q)
|
97% |
24748
4.62 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2445
39.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
23866
386.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
32630
529.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
11234
13.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
177492
207.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
334466
392.0 IPS |
|
|
Object Detection (SP)
|
100% |
2653
210.4 IPS |
|
|
Object Detection (HP)
|
100% |
18234
1.45 KIPS |
|
|
Object Detection (Q)
|
91% |
27041
2.16 KIPS |
|
|
Face Detection (SP)
|
100% |
4755
56.5 IPS |
|
|
Face Detection (HP)
|
100% |
47274
561.7 IPS |
|
|
Face Detection (Q)
|
100% |
67670
804.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
9081
70.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
111167
856.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
189636
1.48 KIPS |
|
|
Style Transfer (SP)
|
100% |
25953
33.4 IPS |
|
|
Style Transfer (HP)
|
100% |
271784
349.4 IPS |
|
|
Style Transfer (Q)
|
96% |
371008
478.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6007
221.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
63887
2.36 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
101754
3.76 KIPS |
|
|
Text Classification (SP)
|
100% |
3030
4.04 KIPS |
|
|
Text Classification (HP)
|
100% |
6467
8.63 KIPS |
|
|
Text Classification (Q)
|
93% |
6554
8.80 KIPS |
|
|
Machine Translation (SP)
|
100% |
4972
85.6 IPS |
|
|
Machine Translation (HP)
|
100% |
17795
306.5 IPS |
|
|
Machine Translation (Q)
|
98% |
18571
320.9 IPS |
