MacBook Pro CPU (16-inch, 2021) MacBook Pro (16-inch, 2021)
Geekbench AI Score
3685
Single Precision Score
5834
Half Precision Score
4675
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | dukrous |
| Upload Date | June 28 2025 03:25 PM |
| 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 | 3.22 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1339
248.9 IPS |
|
|
Image Classification (HP)
|
100% |
2011
374.0 IPS |
|
|
Image Classification (Q)
|
96% |
1489
278.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1541
25.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2260
36.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
2593
42.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
11227
13.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
22619
26.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
16966
19.9 IPS |
|
|
Object Detection (SP)
|
100% |
1552
123.1 IPS |
|
|
Object Detection (HP)
|
97% |
2273
180.9 IPS |
|
|
Object Detection (Q)
|
94% |
1690
134.7 IPS |
|
|
Face Detection (SP)
|
100% |
3251
38.6 IPS |
|
|
Face Detection (HP)
|
100% |
5200
61.8 IPS |
|
|
Face Detection (Q)
|
100% |
3070
36.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5708
44.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
10149
78.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
7076
55.3 IPS |
|
|
Style Transfer (SP)
|
100% |
21943
28.2 IPS |
|
|
Style Transfer (HP)
|
100% |
32714
42.1 IPS |
|
|
Style Transfer (Q)
|
96% |
26666
34.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4310
159.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5853
216.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4030
148.8 IPS |
|
|
Text Classification (SP)
|
100% |
2285
3.05 KIPS |
|
|
Text Classification (HP)
|
100% |
4053
5.41 KIPS |
|
|
Text Classification (Q)
|
93% |
4022
5.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
3203
55.2 IPS |
|
|
Machine Translation (HP)
|
98% |
4775
82.5 IPS |
|
|
Machine Translation (Q)
|
98% |
4800
82.9 IPS |
