MacBook Pro (16-inch, 2021)
Geekbench AI Score
11878
Single Precision Score
13522
Half Precision Score
12405
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | slawomirrybarczyk |
| Upload Date | July 16 2025 04:43 AM |
| Views | 18 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| Model | MacBook Pro (16-inch, 2021) |
| Model ID | MacBookPro18,2 |
| Motherboard | MacBookPro18,2 |
| CPU Information | |
|---|---|
| Name | Apple M1 Max |
| Topology | 1 Processor, 10 Cores |
| Identifier | Apple M1 Max |
| Base Frequency | 3.21 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5238
974.2 IPS |
|
|
Image Classification (HP)
|
100% |
5466
1.02 KIPS |
|
|
Image Classification (Q)
|
96% |
4745
886.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
11809
191.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
12210
197.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
11493
186.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
56980
66.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
62309
72.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
59368
69.5 IPS |
|
|
Object Detection (SP)
|
100% |
5194
412.0 IPS |
|
|
Object Detection (HP)
|
100% |
5407
428.9 IPS |
|
|
Object Detection (Q)
|
92% |
4991
398.4 IPS |
|
|
Face Detection (SP)
|
100% |
21330
253.4 IPS |
|
|
Face Detection (HP)
|
100% |
22166
263.4 IPS |
|
|
Face Detection (Q)
|
100% |
19035
226.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
26197
201.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
28262
217.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
25372
198.2 IPS |
|
|
Style Transfer (SP)
|
100% |
96588
124.2 IPS |
|
|
Style Transfer (HP)
|
100% |
122041
156.9 IPS |
|
|
Style Transfer (Q)
|
96% |
118856
153.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
17011
628.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
17866
659.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
15588
575.6 IPS |
|
|
Text Classification (SP)
|
100% |
2286
3.05 KIPS |
|
|
Text Classification (HP)
|
100% |
4080
5.45 KIPS |
|
|
Text Classification (Q)
|
93% |
4031
5.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
1456
25.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1631
28.1 IPS |
|
|
Machine Translation (Q)
|
98% |
1481
25.6 IPS |
