MacBook Pro (16-inch, 2021)
Geekbench AI Score
3519
Single Precision Score
15096
Half Precision Score
14950
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | aangel |
| Upload Date | January 25 2025 08:00 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C101) |
| 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 | 2.67 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1223
227.4 IPS |
|
|
Image Classification (HP)
|
100% |
6099
1.13 KIPS |
|
|
Image Classification (Q)
|
96% |
5955
1.11 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1510
24.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
9143
148.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
9578
155.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
10311
12.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
70433
82.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
66375
77.8 IPS |
|
|
Object Detection (SP)
|
100% |
1474
116.9 IPS |
|
|
Object Detection (HP)
|
99% |
7010
557.6 IPS |
|
|
Object Detection (Q)
|
91% |
6669
532.9 IPS |
|
|
Face Detection (SP)
|
100% |
3118
37.0 IPS |
|
|
Face Detection (HP)
|
100% |
13679
162.5 IPS |
|
|
Face Detection (Q)
|
100% |
12389
147.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5465
42.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
49402
380.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
50652
395.8 IPS |
|
|
Style Transfer (SP)
|
100% |
21038
27.0 IPS |
|
|
Style Transfer (HP)
|
100% |
118823
152.7 IPS |
|
|
Style Transfer (Q)
|
96% |
114974
148.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4169
153.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
25200
930.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
27598
1.02 KIPS |
|
|
Text Classification (SP)
|
100% |
2139
2.86 KIPS |
|
|
Text Classification (HP)
|
100% |
3642
4.86 KIPS |
|
|
Text Classification (Q)
|
93% |
3629
4.87 KIPS |
|
|
Machine Translation (SP)
|
100% |
3246
55.9 IPS |
|
|
Machine Translation (HP)
|
100% |
3030
52.2 IPS |
|
|
Machine Translation (Q)
|
98% |
3058
52.8 IPS |
