MacBook Pro (16-inch, 2021)
Geekbench AI Score
3557
Single Precision Score
5656
Half Precision Score
4556
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | Lordwombat |
| Upload Date | July 15 2025 11:36 AM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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 | 3.17 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1296
241.0 IPS |
|
|
Image Classification (HP)
|
100% |
1880
349.6 IPS |
|
|
Image Classification (Q)
|
96% |
1434
267.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1491
24.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2265
36.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
2462
39.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
10573
12.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
21748
25.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
16898
19.8 IPS |
|
|
Object Detection (SP)
|
100% |
1536
121.8 IPS |
|
|
Object Detection (HP)
|
97% |
2254
179.4 IPS |
|
|
Object Detection (Q)
|
94% |
1669
133.0 IPS |
|
|
Face Detection (SP)
|
100% |
3207
38.1 IPS |
|
|
Face Detection (HP)
|
100% |
5036
59.8 IPS |
|
|
Face Detection (Q)
|
100% |
2931
34.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5448
42.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
9612
74.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
6733
52.6 IPS |
|
|
Style Transfer (SP)
|
100% |
21353
27.4 IPS |
|
|
Style Transfer (HP)
|
100% |
32047
41.2 IPS |
|
|
Style Transfer (Q)
|
96% |
25657
33.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4235
156.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5742
212.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4068
150.2 IPS |
|
|
Text Classification (SP)
|
100% |
2179
2.91 KIPS |
|
|
Text Classification (HP)
|
100% |
3794
5.06 KIPS |
|
|
Text Classification (Q)
|
93% |
3864
5.19 KIPS |
|
|
Machine Translation (SP)
|
100% |
3003
51.7 IPS |
|
|
Machine Translation (HP)
|
98% |
4756
82.2 IPS |
|
|
Machine Translation (Q)
|
98% |
4868
84.1 IPS |
