MacBook Pro (16-inch, 2021)
Geekbench AI Score
3732
Single Precision Score
16489
Half Precision Score
16238
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | toothpaste |
| Upload Date | November 27 2024 08:40 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.1.1 (Build 24B91) |
| 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% |
1288
239.5 IPS |
|
|
Image Classification (HP)
|
100% |
6974
1.30 KIPS |
|
|
Image Classification (Q)
|
96% |
6441
1.20 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1601
26.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
9747
158.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
10429
169.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
11089
12.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
70285
82.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
65867
77.2 IPS |
|
|
Object Detection (SP)
|
100% |
1593
126.4 IPS |
|
|
Object Detection (HP)
|
99% |
7945
632.0 IPS |
|
|
Object Detection (Q)
|
91% |
7359
588.0 IPS |
|
|
Face Detection (SP)
|
100% |
3228
38.4 IPS |
|
|
Face Detection (HP)
|
100% |
16158
192.0 IPS |
|
|
Face Detection (Q)
|
100% |
14894
177.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5967
46.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
51278
395.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
53557
418.5 IPS |
|
|
Style Transfer (SP)
|
100% |
22443
28.9 IPS |
|
|
Style Transfer (HP)
|
100% |
120090
154.4 IPS |
|
|
Style Transfer (Q)
|
96% |
115795
149.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4335
160.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
25822
953.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
28008
1.03 KIPS |
|
|
Text Classification (SP)
|
100% |
2278
3.04 KIPS |
|
|
Text Classification (HP)
|
100% |
3902
5.21 KIPS |
|
|
Text Classification (Q)
|
93% |
3884
5.21 KIPS |
|
|
Machine Translation (SP)
|
100% |
3379
58.2 IPS |
|
|
Machine Translation (HP)
|
100% |
3905
67.3 IPS |
|
|
Machine Translation (Q)
|
98% |
3896
67.3 IPS |
