MacBook Pro (16-inch, 2021)
Geekbench AI Score
3760
Single Precision Score
11985
Half Precision Score
12317
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | Streambox |
| Upload Date | August 15 2024 11:13 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B5009l) |
| 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% |
1320
245.6 IPS |
|
|
Image Classification (HP)
|
100% |
6897
1.28 KIPS |
|
|
Image Classification (Q)
|
99% |
7426
1.39 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1668
27.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2237
36.3 IPS |
|
|
Image Segmentation (Q)
|
100% |
2225
36.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
11314
13.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
69279
80.8 IPS |
|
|
Pose Estimation (Q)
|
94% |
65536
76.9 IPS |
|
|
Object Detection (SP)
|
100% |
1557
123.5 IPS |
|
|
Object Detection (HP)
|
99% |
7275
578.7 IPS |
|
|
Object Detection (Q)
|
93% |
6995
558.1 IPS |
|
|
Face Detection (SP)
|
100% |
3378
40.1 IPS |
|
|
Face Detection (HP)
|
100% |
11651
138.4 IPS |
|
|
Face Detection (Q)
|
100% |
11374
135.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5898
45.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
45555
351.0 IPS |
|
|
Depth Estimation (Q)
|
97% |
49288
381.1 IPS |
|
|
Style Transfer (SP)
|
100% |
22514
28.9 IPS |
|
|
Style Transfer (HP)
|
100% |
116687
150.0 IPS |
|
|
Style Transfer (Q)
|
100% |
118908
152.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4336
160.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
17781
656.6 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
22183
821.8 IPS |
|
|
Text Classification (SP)
|
100% |
2217
2.96 KIPS |
|
|
Text Classification (HP)
|
100% |
3783
5.05 KIPS |
|
|
Text Classification (Q)
|
93% |
3806
5.11 KIPS |
|
|
Machine Translation (SP)
|
100% |
3382
58.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1888
32.5 IPS |
|
|
Machine Translation (Q)
|
98% |
1886
32.6 IPS |
