MacBook Pro (16-inch, 2021)
Geekbench AI Score
3757
Single Precision Score
15754
Half Precision Score
15681
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| Upload Date | November 19 2024 07:47 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C5079e) |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1329
247.1 IPS |
|
|
Image Classification (HP)
|
100% |
6416
1.19 KIPS |
|
|
Image Classification (Q)
|
96% |
6152
1.15 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1638
26.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
9636
156.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
10189
165.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
11116
13.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
70444
82.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
66640
78.1 IPS |
|
|
Object Detection (SP)
|
100% |
1588
126.0 IPS |
|
|
Object Detection (HP)
|
99% |
7569
602.1 IPS |
|
|
Object Detection (Q)
|
91% |
7080
565.7 IPS |
|
|
Face Detection (SP)
|
100% |
3270
38.8 IPS |
|
|
Face Detection (HP)
|
100% |
15087
179.3 IPS |
|
|
Face Detection (Q)
|
100% |
14156
168.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5809
44.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
48767
375.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
50934
398.0 IPS |
|
|
Style Transfer (SP)
|
100% |
22402
28.8 IPS |
|
|
Style Transfer (HP)
|
100% |
119148
153.2 IPS |
|
|
Style Transfer (Q)
|
96% |
115726
149.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4383
161.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
25588
944.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
27712
1.02 KIPS |
|
|
Text Classification (SP)
|
100% |
2247
3.00 KIPS |
|
|
Text Classification (HP)
|
100% |
3817
5.09 KIPS |
|
|
Text Classification (Q)
|
93% |
3867
5.19 KIPS |
|
|
Machine Translation (SP)
|
100% |
3482
60.0 IPS |
|
|
Machine Translation (HP)
|
100% |
3338
57.5 IPS |
|
|
Machine Translation (Q)
|
98% |
3401
58.8 IPS |
