MacBook Pro (16-inch, 2021)
Geekbench AI Score
12074
Single Precision Score
13579
Half Precision Score
12683
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | adammurnane |
| Upload Date | November 02 2025 02:41 AM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 Max |
| System Information | |
|---|---|
| Operating System | macOS 26.0.1 (Build 25A362) |
| 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% |
5086
945.8 IPS |
|
|
Image Classification (HP)
|
100% |
5049
939.0 IPS |
|
|
Image Classification (Q)
|
96% |
4733
883.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
11778
190.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
12042
195.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
11485
186.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
57040
66.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
62190
72.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
59344
69.5 IPS |
|
|
Object Detection (SP)
|
100% |
5179
410.8 IPS |
|
|
Object Detection (HP)
|
100% |
5315
421.6 IPS |
|
|
Object Detection (Q)
|
92% |
4955
395.6 IPS |
|
|
Face Detection (SP)
|
100% |
21522
255.7 IPS |
|
|
Face Detection (HP)
|
100% |
22562
268.1 IPS |
|
|
Face Detection (Q)
|
100% |
19160
227.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
26276
202.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
27584
212.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
25502
199.2 IPS |
|
|
Style Transfer (SP)
|
100% |
96440
124.0 IPS |
|
|
Style Transfer (HP)
|
100% |
121662
156.4 IPS |
|
|
Style Transfer (Q)
|
96% |
118402
152.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
16696
616.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18220
672.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
15551
574.2 IPS |
|
|
Text Classification (SP)
|
100% |
2354
3.14 KIPS |
|
|
Text Classification (HP)
|
99% |
4154
5.54 KIPS |
|
|
Text Classification (Q)
|
93% |
4198
5.63 KIPS |
|
|
Machine Translation (SP)
|
100% |
1736
29.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1851
31.9 IPS |
|
|
Machine Translation (Q)
|
98% |
1785
30.9 IPS |
