MacBook Pro (16-inch, 2021)
Geekbench AI Score
3750
Single Precision Score
16416
Half Precision Score
16300
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | nicknick1 |
| Upload Date | February 05 2025 05:45 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.3 (Build 24D60) |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1292
240.2 IPS |
|
|
Image Classification (HP)
|
100% |
6872
1.28 KIPS |
|
|
Image Classification (Q)
|
96% |
6616
1.24 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1597
25.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
9758
158.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
10447
169.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
11053
12.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
70757
82.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
65900
77.2 IPS |
|
|
Object Detection (SP)
|
100% |
1591
126.2 IPS |
|
|
Object Detection (HP)
|
99% |
7901
628.5 IPS |
|
|
Object Detection (Q)
|
91% |
7365
588.5 IPS |
|
|
Face Detection (SP)
|
100% |
3376
40.1 IPS |
|
|
Face Detection (HP)
|
100% |
16202
192.5 IPS |
|
|
Face Detection (Q)
|
100% |
15083
179.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
6005
46.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
51115
393.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
53301
416.5 IPS |
|
|
Style Transfer (SP)
|
100% |
22193
28.5 IPS |
|
|
Style Transfer (HP)
|
100% |
120197
154.5 IPS |
|
|
Style Transfer (Q)
|
96% |
116271
150.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4345
160.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
25809
953.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
27761
1.03 KIPS |
|
|
Text Classification (SP)
|
100% |
2275
3.04 KIPS |
|
|
Text Classification (HP)
|
100% |
3943
5.26 KIPS |
|
|
Text Classification (Q)
|
93% |
3916
5.26 KIPS |
|
|
Machine Translation (SP)
|
100% |
3413
58.8 IPS |
|
|
Machine Translation (HP)
|
100% |
3744
64.5 IPS |
|
|
Machine Translation (Q)
|
98% |
3885
67.1 IPS |
