MacBook Pro (16-inch, 2021)
Geekbench AI Score
12168
Single Precision Score
13463
Half Precision Score
12569
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | maxxx |
| Upload Date | November 24 2025 12:18 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 Max |
| System Information | |
|---|---|
| Operating System | macOS 26.1 (Build 25B78) |
| 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% |
5087
945.9 IPS |
|
|
Image Classification (HP)
|
100% |
5040
937.4 IPS |
|
|
Image Classification (Q)
|
96% |
4709
879.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
11712
189.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
12029
195.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
11462
185.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
56982
66.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
62017
72.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
59353
69.5 IPS |
|
|
Object Detection (SP)
|
100% |
5172
410.2 IPS |
|
|
Object Detection (HP)
|
100% |
5335
423.2 IPS |
|
|
Object Detection (Q)
|
92% |
5002
399.2 IPS |
|
|
Face Detection (SP)
|
100% |
21322
253.4 IPS |
|
|
Face Detection (HP)
|
100% |
22242
264.3 IPS |
|
|
Face Detection (Q)
|
100% |
19136
227.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
26177
201.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
27761
213.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
25314
197.7 IPS |
|
|
Style Transfer (SP)
|
100% |
96497
124.0 IPS |
|
|
Style Transfer (HP)
|
100% |
121512
156.2 IPS |
|
|
Style Transfer (Q)
|
96% |
118184
152.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
16628
614.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
17382
641.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
15504
572.5 IPS |
|
|
Text Classification (SP)
|
100% |
2342
3.13 KIPS |
|
|
Text Classification (HP)
|
99% |
4110
5.49 KIPS |
|
|
Text Classification (Q)
|
93% |
4077
5.47 KIPS |
|
|
Machine Translation (SP)
|
100% |
1933
33.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1820
31.3 IPS |
|
|
Machine Translation (Q)
|
98% |
1697
29.3 IPS |
