MacBook Pro (16-inch, 2021)
Geekbench AI Score
2821
Single Precision Score
4260
Half Precision Score
3548
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | Ricky8109 |
| Upload Date | August 15 2024 10:42 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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 | 3.20 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1272
236.5 IPS |
|
|
Image Classification (HP)
|
100% |
1618
300.9 IPS |
|
|
Image Classification (Q)
|
99% |
1621
302.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1261
20.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1216
19.7 IPS |
|
|
Image Segmentation (Q)
|
100% |
1218
19.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
5634
6.57 IPS |
|
|
Pose Estimation (HP)
|
100% |
13175
15.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
11214
13.1 IPS |
|
|
Object Detection (SP)
|
100% |
1377
109.2 IPS |
|
|
Object Detection (HP)
|
97% |
1890
150.5 IPS |
|
|
Object Detection (Q)
|
94% |
1464
116.7 IPS |
|
|
Face Detection (SP)
|
100% |
2645
31.4 IPS |
|
|
Face Detection (HP)
|
100% |
3985
47.3 IPS |
|
|
Face Detection (Q)
|
100% |
2618
31.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5011
38.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
7856
60.7 IPS |
|
|
Depth Estimation (Q)
|
96% |
4062
31.4 IPS |
|
|
Style Transfer (SP)
|
100% |
15214
19.6 IPS |
|
|
Style Transfer (HP)
|
100% |
24200
31.1 IPS |
|
|
Style Transfer (Q)
|
100% |
24099
31.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3319
122.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4549
168.0 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3293
122.0 IPS |
|
|
Text Classification (SP)
|
100% |
2218
2.96 KIPS |
|
|
Text Classification (HP)
|
100% |
3606
4.81 KIPS |
|
|
Text Classification (Q)
|
93% |
3590
4.82 KIPS |
|
|
Machine Translation (SP)
|
100% |
1731
29.8 IPS |
|
|
Machine Translation (HP)
|
98% |
3234
55.9 IPS |
|
|
Machine Translation (Q)
|
98% |
3222
55.7 IPS |
