MacBook Pro (16-inch, 2021)
Geekbench AI Score
11169
Single Precision Score
12364
Half Precision Score
11129
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | GBMann |
| Upload Date | November 11 2024 01:13 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
5184
964.1 IPS |
|
|
Image Classification (HP)
|
100% |
5270
980.0 IPS |
|
|
Image Classification (Q)
|
97% |
4583
855.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
10234
165.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
10459
169.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
10630
172.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
57253
66.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
60699
70.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
55729
65.3 IPS |
|
|
Object Detection (SP)
|
100% |
5250
416.5 IPS |
|
|
Object Detection (HP)
|
100% |
5492
435.6 IPS |
|
|
Object Detection (Q)
|
91% |
4774
381.5 IPS |
|
|
Face Detection (SP)
|
100% |
21484
255.3 IPS |
|
|
Face Detection (HP)
|
100% |
21318
253.3 IPS |
|
|
Face Detection (Q)
|
100% |
16522
196.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
26814
206.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
27669
213.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
22990
179.7 IPS |
|
|
Style Transfer (SP)
|
100% |
96827
124.5 IPS |
|
|
Style Transfer (HP)
|
100% |
121019
155.6 IPS |
|
|
Style Transfer (Q)
|
96% |
113364
146.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
17011
628.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
17582
649.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
14285
527.5 IPS |
|
|
Text Classification (SP)
|
100% |
2320
3.10 KIPS |
|
|
Text Classification (HP)
|
100% |
4010
5.35 KIPS |
|
|
Text Classification (Q)
|
93% |
4045
5.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
861
14.8 IPS |
|
|
Machine Translation (HP)
|
100% |
903
15.5 IPS |
|
|
Machine Translation (Q)
|
98% |
904
15.6 IPS |
