Mac17,2
Geekbench AI Score
13290
Single Precision Score
24645
Half Precision Score
23231
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | Tom34772 |
| Upload Date | December 31 2025 03:22 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
5888
1.09 KIPS |
|
|
Image Classification (HP)
|
100% |
9887
1.84 KIPS |
|
|
Image Classification (Q)
|
97% |
8727
1.63 KIPS |
|
|
Image Segmentation (SP)
|
100% |
10181
165.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
16729
271.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
17350
281.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
39462
46.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
102716
119.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
110425
129.4 IPS |
|
|
Object Detection (SP)
|
100% |
6432
510.2 IPS |
|
|
Object Detection (HP)
|
100% |
11551
916.2 IPS |
|
|
Object Detection (Q)
|
92% |
9892
789.9 IPS |
|
|
Face Detection (SP)
|
100% |
18554
220.5 IPS |
|
|
Face Detection (HP)
|
100% |
36128
429.3 IPS |
|
|
Face Detection (Q)
|
100% |
27557
327.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
28433
219.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
56536
435.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
52519
409.8 IPS |
|
|
Style Transfer (SP)
|
100% |
80473
103.4 IPS |
|
|
Style Transfer (HP)
|
100% |
188164
241.9 IPS |
|
|
Style Transfer (Q)
|
96% |
208274
268.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
16353
603.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
29750
1.10 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
27927
1.03 KIPS |
|
|
Text Classification (SP)
|
100% |
2943
3.93 KIPS |
|
|
Text Classification (HP)
|
99% |
6030
8.05 KIPS |
|
|
Text Classification (Q)
|
93% |
5381
7.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
5530
95.2 IPS |
|
|
Machine Translation (HP)
|
100% |
6110
105.2 IPS |
|
|
Machine Translation (Q)
|
98% |
6112
105.6 IPS |
