MacBook Pro (16-inch, 2021)
Geekbench AI Score
3696
Single Precision Score
5635
Half Precision Score
4666
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| Upload Date | November 13 2024 10:45 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B83) |
| 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% |
1315
244.6 IPS |
|
|
Image Classification (HP)
|
100% |
2036
378.6 IPS |
|
|
Image Classification (Q)
|
96% |
1467
274.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1554
25.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2296
37.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
2656
43.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
10943
12.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
21166
24.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
16651
19.5 IPS |
|
|
Object Detection (SP)
|
100% |
1532
121.5 IPS |
|
|
Object Detection (HP)
|
97% |
2311
184.0 IPS |
|
|
Object Detection (Q)
|
94% |
1700
135.5 IPS |
|
|
Face Detection (SP)
|
100% |
3263
38.8 IPS |
|
|
Face Detection (HP)
|
100% |
5101
60.6 IPS |
|
|
Face Detection (Q)
|
100% |
3109
36.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5800
44.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
10519
81.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
7270
56.8 IPS |
|
|
Style Transfer (SP)
|
100% |
21580
27.7 IPS |
|
|
Style Transfer (HP)
|
100% |
34224
44.0 IPS |
|
|
Style Transfer (Q)
|
96% |
27133
35.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4339
160.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6246
230.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4004
147.9 IPS |
|
|
Text Classification (SP)
|
100% |
2309
3.08 KIPS |
|
|
Text Classification (HP)
|
100% |
3945
5.27 KIPS |
|
|
Text Classification (Q)
|
93% |
3900
5.23 KIPS |
|
|
Machine Translation (SP)
|
100% |
3399
58.5 IPS |
|
|
Machine Translation (HP)
|
98% |
3125
54.0 IPS |
|
|
Machine Translation (Q)
|
98% |
4634
80.1 IPS |
