MacBook Pro (16-inch, 2021)
Geekbench AI Score
3678
Single Precision Score
5860
Half Precision Score
4696
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| Upload Date | June 26 2025 06:47 PM |
| Views | 4 |
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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1347
250.4 IPS |
|
|
Image Classification (HP)
|
100% |
2030
377.6 IPS |
|
|
Image Classification (Q)
|
96% |
1514
282.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1568
25.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2304
37.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
2617
42.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
11105
13.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
21818
25.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
17059
20.0 IPS |
|
|
Object Detection (SP)
|
100% |
1567
124.3 IPS |
|
|
Object Detection (HP)
|
97% |
2305
183.5 IPS |
|
|
Object Detection (Q)
|
94% |
1721
137.2 IPS |
|
|
Face Detection (SP)
|
100% |
3170
37.7 IPS |
|
|
Face Detection (HP)
|
100% |
5242
62.3 IPS |
|
|
Face Detection (Q)
|
100% |
3105
36.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5691
43.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
10373
80.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
6897
53.9 IPS |
|
|
Style Transfer (SP)
|
100% |
21629
27.8 IPS |
|
|
Style Transfer (HP)
|
100% |
31742
40.8 IPS |
|
|
Style Transfer (Q)
|
96% |
26355
34.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4371
161.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6018
222.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4098
151.3 IPS |
|
|
Text Classification (SP)
|
100% |
2297
3.07 KIPS |
|
|
Text Classification (HP)
|
100% |
4070
5.43 KIPS |
|
|
Text Classification (Q)
|
93% |
4035
5.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
3150
54.3 IPS |
|
|
Machine Translation (HP)
|
98% |
4809
83.1 IPS |
|
|
Machine Translation (Q)
|
98% |
4808
83.1 IPS |
