MacBook Pro (16-inch, 2021)
Geekbench AI Score
3716
Single Precision Score
15705
Half Precision Score
15620
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | kducarmont |
| Upload Date | January 27 2025 07:46 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C101) |
| 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 | 3.17 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1307
243.0 IPS |
|
|
Image Classification (HP)
|
100% |
6400
1.19 KIPS |
|
|
Image Classification (Q)
|
96% |
6105
1.14 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1582
25.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
9492
153.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
10072
163.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
11079
12.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
70557
82.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
66842
78.3 IPS |
|
|
Object Detection (SP)
|
100% |
1559
123.6 IPS |
|
|
Object Detection (HP)
|
99% |
7469
594.1 IPS |
|
|
Object Detection (Q)
|
91% |
7118
568.7 IPS |
|
|
Face Detection (SP)
|
100% |
3353
39.8 IPS |
|
|
Face Detection (HP)
|
100% |
14789
175.7 IPS |
|
|
Face Detection (Q)
|
100% |
13820
164.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5865
45.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
49917
384.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
51999
406.4 IPS |
|
|
Style Transfer (SP)
|
100% |
22278
28.6 IPS |
|
|
Style Transfer (HP)
|
100% |
119780
154.0 IPS |
|
|
Style Transfer (Q)
|
96% |
115828
149.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4295
158.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
25655
947.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
27667
1.02 KIPS |
|
|
Text Classification (SP)
|
100% |
2236
2.98 KIPS |
|
|
Text Classification (HP)
|
100% |
3848
5.14 KIPS |
|
|
Text Classification (Q)
|
93% |
3838
5.15 KIPS |
|
|
Machine Translation (SP)
|
100% |
3345
57.6 IPS |
|
|
Machine Translation (HP)
|
100% |
3267
56.3 IPS |
|
|
Machine Translation (Q)
|
98% |
3344
57.8 IPS |
