MBAM5 Mac17,4
Geekbench AI Score
5186
Single Precision Score
8542
Half Precision Score
6778
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | Bierre |
| Upload Date | March 11 2026 02:41 PM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M5 |
| System Information | |
|---|---|
| Operating System | macOS 26.3.1 (Build 25D2128) |
| Model | Mac17,4 |
| Model ID | Mac17,4 |
| Motherboard | Mac17,4 |
| CPU Information | |
|---|---|
| Name | Apple M5 |
| Topology | 1 Processor, 10 Cores |
| Identifier | Apple M5 |
| Base Frequency | 4.46 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2240
416.6 IPS |
|
|
Image Classification (HP)
|
100% |
3667
681.9 IPS |
|
|
Image Classification (Q)
|
96% |
2486
464.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2214
35.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
3343
54.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3528
57.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
11060
12.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
20687
24.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
17715
20.8 IPS |
|
|
Object Detection (SP)
|
100% |
2617
207.6 IPS |
|
|
Object Detection (HP)
|
97% |
4114
327.5 IPS |
|
|
Object Detection (Q)
|
94% |
2901
231.2 IPS |
|
|
Face Detection (SP)
|
100% |
4550
54.1 IPS |
|
|
Face Detection (HP)
|
100% |
8385
99.6 IPS |
|
|
Face Detection (Q)
|
100% |
4742
56.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
9074
69.9 IPS |
|
|
Depth Estimation (HP)
|
97% |
15053
116.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
10404
81.2 IPS |
|
|
Style Transfer (SP)
|
100% |
27000
34.7 IPS |
|
|
Style Transfer (HP)
|
100% |
41204
53.0 IPS |
|
|
Style Transfer (Q)
|
96% |
33762
43.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5961
220.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7387
272.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5284
195.1 IPS |
|
|
Text Classification (SP)
|
100% |
2997
4.00 KIPS |
|
|
Text Classification (HP)
|
99% |
5529
7.38 KIPS |
|
|
Text Classification (Q)
|
93% |
5533
7.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
4925
84.8 IPS |
|
|
Machine Translation (HP)
|
98% |
9337
161.3 IPS |
|
|
Machine Translation (Q)
|
98% |
9329
161.2 IPS |
