MacBook Pro (16-inch, 2021)
Geekbench AI Score
11845
Single Precision Score
13529
Half Precision Score
12395
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | 3dworks |
| Upload Date | September 17 2025 09:05 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.6.1 (Build 24G90) |
| 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 | 3.22 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5092
946.9 IPS |
|
|
Image Classification (HP)
|
100% |
5286
983.0 IPS |
|
|
Image Classification (Q)
|
96% |
4798
896.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
11710
189.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
12199
197.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
11481
186.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
56934
66.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
62506
72.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
59335
69.5 IPS |
|
|
Object Detection (SP)
|
100% |
5156
409.0 IPS |
|
|
Object Detection (HP)
|
100% |
5477
434.4 IPS |
|
|
Object Detection (Q)
|
92% |
5030
401.5 IPS |
|
|
Face Detection (SP)
|
100% |
21466
255.1 IPS |
|
|
Face Detection (HP)
|
100% |
22700
269.7 IPS |
|
|
Face Detection (Q)
|
100% |
18849
224.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
26384
203.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
28438
219.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
25850
201.9 IPS |
|
|
Style Transfer (SP)
|
100% |
96851
124.5 IPS |
|
|
Style Transfer (HP)
|
100% |
121828
156.6 IPS |
|
|
Style Transfer (Q)
|
96% |
119045
153.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
16904
624.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
17829
658.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
15729
580.8 IPS |
|
|
Text Classification (SP)
|
100% |
2294
3.06 KIPS |
|
|
Text Classification (HP)
|
100% |
4056
5.41 KIPS |
|
|
Text Classification (Q)
|
93% |
4019
5.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
1461
25.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1637
28.2 IPS |
|
|
Machine Translation (Q)
|
98% |
1420
24.5 IPS |
