MacBook Pro (M1 Max) - 2025_0515 MacBook Pro (16-inch, 2021)
Geekbench AI Score
3676
Single Precision Score
5858
Half Precision Score
4699
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | Barritz |
| Upload Date | May 16 2025 02:47 AM |
| Views | 5 |
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 | 3.21 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1343
249.8 IPS |
|
|
Image Classification (HP)
|
100% |
1997
371.4 IPS |
|
|
Image Classification (Q)
|
96% |
1497
279.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1549
25.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2306
37.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
2608
42.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
11035
12.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
21704
25.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
17090
20.0 IPS |
|
|
Object Detection (SP)
|
100% |
1553
123.2 IPS |
|
|
Object Detection (HP)
|
97% |
2286
182.0 IPS |
|
|
Object Detection (Q)
|
94% |
1716
136.8 IPS |
|
|
Face Detection (SP)
|
100% |
3203
38.1 IPS |
|
|
Face Detection (HP)
|
100% |
5241
62.3 IPS |
|
|
Face Detection (Q)
|
100% |
3070
36.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5711
44.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
10317
79.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
7060
55.2 IPS |
|
|
Style Transfer (SP)
|
100% |
21846
28.1 IPS |
|
|
Style Transfer (HP)
|
100% |
33873
43.5 IPS |
|
|
Style Transfer (Q)
|
96% |
26681
34.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4337
160.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5719
211.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4065
150.1 IPS |
|
|
Text Classification (SP)
|
100% |
2289
3.05 KIPS |
|
|
Text Classification (HP)
|
100% |
4073
5.44 KIPS |
|
|
Text Classification (Q)
|
93% |
4007
5.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
3187
54.9 IPS |
|
|
Machine Translation (HP)
|
98% |
4885
84.4 IPS |
|
|
Machine Translation (Q)
|
98% |
4868
84.1 IPS |
