MacBook Pro (16-inch, 2021)
Geekbench AI Score
3755
Single Precision Score
16483
Half Precision Score
16336
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | khancool96 |
| Upload Date | December 12 2024 10:57 PM |
| Views | 1 |
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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1350
251.1 IPS |
|
|
Image Classification (HP)
|
100% |
6827
1.27 KIPS |
|
|
Image Classification (Q)
|
96% |
6503
1.21 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1605
26.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
9776
158.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
10337
167.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
11137
13.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
70615
82.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
66641
78.1 IPS |
|
|
Object Detection (SP)
|
100% |
1586
125.8 IPS |
|
|
Object Detection (HP)
|
99% |
7923
630.2 IPS |
|
|
Object Detection (Q)
|
91% |
7375
589.3 IPS |
|
|
Face Detection (SP)
|
100% |
3233
38.4 IPS |
|
|
Face Detection (HP)
|
100% |
16087
191.1 IPS |
|
|
Face Detection (Q)
|
100% |
14940
177.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5942
45.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
51402
396.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
53444
417.6 IPS |
|
|
Style Transfer (SP)
|
100% |
22396
28.8 IPS |
|
|
Style Transfer (HP)
|
100% |
120409
154.8 IPS |
|
|
Style Transfer (Q)
|
96% |
115990
149.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4352
160.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
25962
958.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
27896
1.03 KIPS |
|
|
Text Classification (SP)
|
100% |
2285
3.05 KIPS |
|
|
Text Classification (HP)
|
100% |
3952
5.27 KIPS |
|
|
Text Classification (Q)
|
93% |
3990
5.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
3408
58.7 IPS |
|
|
Machine Translation (HP)
|
100% |
3881
66.9 IPS |
|
|
Machine Translation (Q)
|
98% |
3976
68.7 IPS |
