MacBook Pro (16-inch, 2021)
Geekbench AI Score
1957
Single Precision Score
12646
Half Precision Score
10475
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| Upload Date | September 17 2024 10:41 AM |
| Views | 2 |
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 | 3.22 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
903
168.0 IPS |
|
|
Image Classification (HP)
|
100% |
7214
1.34 KIPS |
|
|
Image Classification (Q)
|
96% |
6430
1.20 KIPS |
|
|
Image Segmentation (SP)
|
100% |
658
10.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
3877
62.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
483
7.84 IPS |
|
|
Pose Estimation (SP)
|
100% |
9593
11.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
68980
80.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
65119
76.3 IPS |
|
|
Object Detection (SP)
|
100% |
935
74.1 IPS |
|
|
Object Detection (HP)
|
99% |
7468
594.1 IPS |
|
|
Object Detection (Q)
|
93% |
7166
571.8 IPS |
|
|
Face Detection (SP)
|
100% |
1738
20.6 IPS |
|
|
Face Detection (HP)
|
100% |
11309
134.4 IPS |
|
|
Face Detection (Q)
|
100% |
11870
141.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
3325
25.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
46256
356.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
54485
425.8 IPS |
|
|
Style Transfer (SP)
|
100% |
11754
15.1 IPS |
|
|
Style Transfer (HP)
|
100% |
117183
150.6 IPS |
|
|
Style Transfer (Q)
|
96% |
115099
148.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2230
82.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18699
690.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
23145
854.6 IPS |
|
|
Text Classification (SP)
|
100% |
803
1.07 KIPS |
|
|
Text Classification (HP)
|
100% |
3305
4.41 KIPS |
|
|
Text Classification (Q)
|
93% |
3350
4.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
1272
21.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1917
33.0 IPS |
|
|
Machine Translation (Q)
|
98% |
1902
32.9 IPS |
