Mac17,2
Geekbench AI Score
10003
Single Precision Score
19078
Half Precision Score
17685
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | December 13 2025 11:54 AM |
| Views | 20 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M5 |
| System Information | |
|---|---|
| Operating System | macOS 26.2 (Build 25C56) |
| 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 | 2.22 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5413
1.01 KIPS |
|
|
Image Classification (HP)
|
100% |
9669
1.80 KIPS |
|
|
Image Classification (Q)
|
97% |
8385
1.56 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9608
155.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
15772
255.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
15984
259.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
27436
32.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
79319
92.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
88434
103.7 IPS |
|
|
Object Detection (SP)
|
100% |
5201
412.5 IPS |
|
|
Object Detection (HP)
|
100% |
10503
833.1 IPS |
|
|
Object Detection (Q)
|
93% |
8593
685.5 IPS |
|
|
Face Detection (SP)
|
100% |
15830
188.1 IPS |
|
|
Face Detection (HP)
|
100% |
27010
320.9 IPS |
|
|
Face Detection (Q)
|
100% |
21080
250.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
23360
180.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
45778
352.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
47797
373.2 IPS |
|
|
Style Transfer (SP)
|
100% |
69498
89.3 IPS |
|
|
Style Transfer (HP)
|
100% |
168516
216.6 IPS |
|
|
Style Transfer (Q)
|
96% |
192898
248.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15918
587.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
29986
1.11 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
25250
932.4 IPS |
|
|
Text Classification (SP)
|
100% |
1720
2.30 KIPS |
|
|
Text Classification (HP)
|
99% |
3062
4.09 KIPS |
|
|
Text Classification (Q)
|
93% |
3027
4.06 KIPS |
|
|
Machine Translation (SP)
|
100% |
1921
33.1 IPS |
|
|
Machine Translation (HP)
|
100% |
2628
45.3 IPS |
|
|
Machine Translation (Q)
|
98% |
1979
34.2 IPS |
