MacBook Pro (16-inch, 2021)
Geekbench AI Score
3735
Single Precision Score
5827
Half Precision Score
4743
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | richh- |
| Upload Date | January 06 2025 09:49 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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 | 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% |
1345
250.0 IPS |
|
|
Image Classification (HP)
|
100% |
2047
380.6 IPS |
|
|
Image Classification (Q)
|
96% |
1482
276.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1639
26.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2371
38.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
2680
43.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
11009
12.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
21532
25.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
17216
20.2 IPS |
|
|
Object Detection (SP)
|
100% |
1590
126.1 IPS |
|
|
Object Detection (HP)
|
97% |
2385
189.9 IPS |
|
|
Object Detection (Q)
|
94% |
1734
138.2 IPS |
|
|
Face Detection (SP)
|
100% |
3208
38.1 IPS |
|
|
Face Detection (HP)
|
100% |
5350
63.6 IPS |
|
|
Face Detection (Q)
|
100% |
3111
37.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5823
44.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
10469
80.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
7336
57.4 IPS |
|
|
Style Transfer (SP)
|
100% |
21611
27.8 IPS |
|
|
Style Transfer (HP)
|
100% |
34809
44.7 IPS |
|
|
Style Transfer (Q)
|
96% |
27384
35.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4319
159.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6420
237.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4010
148.1 IPS |
|
|
Text Classification (SP)
|
100% |
2337
3.12 KIPS |
|
|
Text Classification (HP)
|
100% |
4118
5.50 KIPS |
|
|
Text Classification (Q)
|
93% |
4052
5.44 KIPS |
|
|
Machine Translation (SP)
|
100% |
3363
57.9 IPS |
|
|
Machine Translation (HP)
|
98% |
3514
60.7 IPS |
|
|
Machine Translation (Q)
|
98% |
4789
82.8 IPS |
