MacBook Pro (16-inch, 2021)
Geekbench AI Score
12423
Single Precision Score
13368
Half Precision Score
11165
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| Upload Date | October 22 2025 04:27 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.7.1 (Build 24G231) |
| 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 | 3.20 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5187
964.5 IPS |
|
|
Image Classification (HP)
|
100% |
5313
988.1 IPS |
|
|
Image Classification (Q)
|
99% |
5163
963.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
11687
189.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
12189
197.6 IPS |
|
|
Image Segmentation (Q)
|
100% |
12153
197.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
56967
66.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
62623
73.1 IPS |
|
|
Pose Estimation (Q)
|
97% |
57227
67.0 IPS |
|
|
Object Detection (SP)
|
100% |
5197
412.2 IPS |
|
|
Object Detection (HP)
|
100% |
5518
437.7 IPS |
|
|
Object Detection (Q)
|
92% |
5021
400.8 IPS |
|
|
Face Detection (SP)
|
100% |
21057
250.2 IPS |
|
|
Face Detection (HP)
|
100% |
22580
268.3 IPS |
|
|
Face Detection (Q)
|
100% |
19114
227.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
26407
203.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
28400
218.8 IPS |
|
|
Depth Estimation (Q)
|
97% |
6670
51.6 IPS |
|
|
Style Transfer (SP)
|
100% |
96691
124.3 IPS |
|
|
Style Transfer (HP)
|
100% |
121567
156.3 IPS |
|
|
Style Transfer (Q)
|
100% |
121788
156.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
16279
601.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18129
669.4 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
15679
580.9 IPS |
|
|
Text Classification (SP)
|
100% |
2289
3.06 KIPS |
|
|
Text Classification (HP)
|
100% |
3949
5.27 KIPS |
|
|
Text Classification (Q)
|
93% |
3937
5.28 KIPS |
|
|
Machine Translation (SP)
|
100% |
2436
42.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1460
25.2 IPS |
|
|
Machine Translation (Q)
|
98% |
1743
30.1 IPS |
