MacBook Pro (16-inch, 2021)
Geekbench AI Score
3736
Single Precision Score
5844
Half Precision Score
4707
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| Upload Date | April 25 2025 01:01 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.3.2 (Build 24D81) |
| 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 | 3.19 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1338
248.8 IPS |
|
|
Image Classification (HP)
|
100% |
2023
376.2 IPS |
|
|
Image Classification (Q)
|
96% |
1453
271.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1612
26.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2348
38.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
2646
42.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
11043
12.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
22149
25.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
17300
20.3 IPS |
|
|
Object Detection (SP)
|
100% |
1569
124.5 IPS |
|
|
Object Detection (HP)
|
97% |
2348
187.0 IPS |
|
|
Object Detection (Q)
|
94% |
1691
134.8 IPS |
|
|
Face Detection (SP)
|
100% |
3317
39.4 IPS |
|
|
Face Detection (HP)
|
100% |
5317
63.2 IPS |
|
|
Face Detection (Q)
|
100% |
3116
37.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5801
44.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
10698
82.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
7316
57.2 IPS |
|
|
Style Transfer (SP)
|
100% |
22213
28.6 IPS |
|
|
Style Transfer (HP)
|
100% |
35349
45.4 IPS |
|
|
Style Transfer (Q)
|
96% |
27364
35.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4362
161.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6351
234.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4038
149.1 IPS |
|
|
Text Classification (SP)
|
100% |
2275
3.04 KIPS |
|
|
Text Classification (HP)
|
100% |
3972
5.30 KIPS |
|
|
Text Classification (Q)
|
93% |
3915
5.25 KIPS |
|
|
Machine Translation (SP)
|
100% |
3344
57.6 IPS |
|
|
Machine Translation (HP)
|
98% |
3714
64.2 IPS |
|
|
Machine Translation (Q)
|
98% |
4822
83.3 IPS |
