MacBook Pro (16-inch, 2021)
Geekbench AI Score
3685
Single Precision Score
5871
Half Precision Score
4695
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | fmejia01 |
| Upload Date | April 01 2025 08:20 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.4 (Build 24E248) |
| 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1335
248.3 IPS |
|
|
Image Classification (HP)
|
100% |
2020
375.7 IPS |
|
|
Image Classification (Q)
|
96% |
1491
278.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1518
24.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2338
37.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
2608
42.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
11243
13.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
22312
26.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
17285
20.3 IPS |
|
|
Object Detection (SP)
|
100% |
1562
123.9 IPS |
|
|
Object Detection (HP)
|
97% |
2292
182.5 IPS |
|
|
Object Detection (Q)
|
94% |
1709
136.2 IPS |
|
|
Face Detection (SP)
|
100% |
3267
38.8 IPS |
|
|
Face Detection (HP)
|
100% |
5263
62.5 IPS |
|
|
Face Detection (Q)
|
100% |
3042
36.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5721
44.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
10106
78.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
7154
55.9 IPS |
|
|
Style Transfer (SP)
|
100% |
21968
28.2 IPS |
|
|
Style Transfer (HP)
|
100% |
33792
43.4 IPS |
|
|
Style Transfer (Q)
|
96% |
26430
34.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4332
159.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5789
213.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4036
149.0 IPS |
|
|
Text Classification (SP)
|
100% |
2294
3.06 KIPS |
|
|
Text Classification (HP)
|
100% |
4044
5.40 KIPS |
|
|
Text Classification (Q)
|
93% |
4106
5.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
3187
54.9 IPS |
|
|
Machine Translation (HP)
|
98% |
4790
82.8 IPS |
|
|
Machine Translation (Q)
|
98% |
4760
82.3 IPS |
