Macbook Pro M5 Mac17,2
Geekbench AI Score
5270
Single Precision Score
42411
Half Precision Score
59382
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | avandeputte |
| Upload Date | December 11 2025 07:02 PM |
| Views | 40 |
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 | 4.59 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2260
420.3 IPS |
|
|
Image Classification (HP)
|
100% |
18747
3.49 KIPS |
|
|
Image Classification (Q)
|
97% |
25801
4.81 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2414
39.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
24012
389.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
33351
540.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
10870
12.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
178662
208.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
330916
387.9 IPS |
|
|
Object Detection (SP)
|
100% |
2641
209.4 IPS |
|
|
Object Detection (HP)
|
100% |
18601
1.48 KIPS |
|
|
Object Detection (Q)
|
91% |
27163
2.17 KIPS |
|
|
Face Detection (SP)
|
100% |
4701
55.9 IPS |
|
|
Face Detection (HP)
|
100% |
47393
563.1 IPS |
|
|
Face Detection (Q)
|
100% |
67731
804.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
9011
69.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
111929
862.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
188519
1.47 KIPS |
|
|
Style Transfer (SP)
|
100% |
27288
35.1 IPS |
|
|
Style Transfer (HP)
|
100% |
274334
352.7 IPS |
|
|
Style Transfer (Q)
|
96% |
376331
485.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6022
222.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
66778
2.47 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
100419
3.71 KIPS |
|
|
Text Classification (SP)
|
100% |
3045
4.06 KIPS |
|
|
Text Classification (HP)
|
100% |
7233
9.65 KIPS |
|
|
Text Classification (Q)
|
93% |
7767
10.4 KIPS |
|
|
Machine Translation (SP)
|
100% |
4981
85.8 IPS |
|
|
Machine Translation (HP)
|
100% |
17905
308.4 IPS |
|
|
Machine Translation (Q)
|
98% |
18809
325.0 IPS |
