MacBook Pro (16-inch, 2021)
Geekbench AI Score
3769
Single Precision Score
5752
Half Precision Score
4723
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | RafaelReverberi |
| Upload Date | November 10 2024 08:53 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C5073e) |
| 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% |
1347
250.5 IPS |
|
|
Image Classification (HP)
|
100% |
2047
380.6 IPS |
|
|
Image Classification (Q)
|
96% |
1492
278.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1650
26.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2384
38.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
2703
43.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
11305
13.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
22549
26.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
16692
19.6 IPS |
|
|
Object Detection (SP)
|
100% |
1585
125.7 IPS |
|
|
Object Detection (HP)
|
97% |
2348
186.9 IPS |
|
|
Object Detection (Q)
|
94% |
1736
138.4 IPS |
|
|
Face Detection (SP)
|
100% |
3321
39.5 IPS |
|
|
Face Detection (HP)
|
100% |
5376
63.9 IPS |
|
|
Face Detection (Q)
|
100% |
3177
37.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5991
46.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
10994
85.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
7351
57.5 IPS |
|
|
Style Transfer (SP)
|
100% |
22250
28.6 IPS |
|
|
Style Transfer (HP)
|
100% |
35135
45.2 IPS |
|
|
Style Transfer (Q)
|
96% |
27498
35.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4321
159.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6194
228.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4059
149.9 IPS |
|
|
Text Classification (SP)
|
100% |
2241
2.99 KIPS |
|
|
Text Classification (HP)
|
100% |
3797
5.07 KIPS |
|
|
Text Classification (Q)
|
93% |
3778
5.07 KIPS |
|
|
Machine Translation (SP)
|
100% |
3391
58.4 IPS |
|
|
Machine Translation (HP)
|
98% |
3147
54.4 IPS |
|
|
Machine Translation (Q)
|
98% |
4800
83.0 IPS |
