MacBook Pro (16-inch, 2021)
Geekbench AI Score
2120
Single Precision Score
12882
Half Precision Score
10754
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| Upload Date | September 17 2024 03:12 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 Max |
| System Information | |
|---|---|
| Operating System | macOS 14.6.1 (Build 23G93) |
| 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 | 3.18 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
944
175.6 IPS |
|
|
Image Classification (HP)
|
100% |
7413
1.38 KIPS |
|
|
Image Classification (Q)
|
96% |
6652
1.24 KIPS |
|
|
Image Segmentation (SP)
|
100% |
688
11.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
3872
62.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
494
8.01 IPS |
|
|
Pose Estimation (SP)
|
100% |
10129
11.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
69634
81.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
66943
78.5 IPS |
|
|
Object Detection (SP)
|
100% |
1086
86.1 IPS |
|
|
Object Detection (HP)
|
99% |
7771
618.2 IPS |
|
|
Object Detection (Q)
|
93% |
7415
591.6 IPS |
|
|
Face Detection (SP)
|
100% |
1949
23.2 IPS |
|
|
Face Detection (HP)
|
100% |
11536
137.1 IPS |
|
|
Face Detection (Q)
|
100% |
12252
145.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
3515
27.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
46620
359.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
55454
433.4 IPS |
|
|
Style Transfer (SP)
|
100% |
12260
15.8 IPS |
|
|
Style Transfer (HP)
|
100% |
117971
151.7 IPS |
|
|
Style Transfer (Q)
|
96% |
115496
149.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2433
89.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18973
700.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
23859
881.0 IPS |
|
|
Text Classification (SP)
|
100% |
827
1.10 KIPS |
|
|
Text Classification (HP)
|
100% |
3492
4.66 KIPS |
|
|
Text Classification (Q)
|
93% |
3510
4.71 KIPS |
|
|
Machine Translation (SP)
|
100% |
1519
26.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1928
33.2 IPS |
|
|
Machine Translation (Q)
|
98% |
1930
33.3 IPS |
