MacBook Pro (16-inch, 2021)
Geekbench AI Score
3767
Single Precision Score
15805
Half Precision Score
15735
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | saronian |
| Upload Date | January 25 2025 09:02 PM |
| Views | 3 |
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 | 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% |
1340
249.1 IPS |
|
|
Image Classification (HP)
|
100% |
6375
1.19 KIPS |
|
|
Image Classification (Q)
|
96% |
6141
1.15 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1634
26.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
9519
154.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
10140
164.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
11163
13.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
70159
81.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
65400
76.7 IPS |
|
|
Object Detection (SP)
|
100% |
1584
125.6 IPS |
|
|
Object Detection (HP)
|
99% |
7511
597.5 IPS |
|
|
Object Detection (Q)
|
91% |
7003
559.6 IPS |
|
|
Face Detection (SP)
|
100% |
3285
39.0 IPS |
|
|
Face Detection (HP)
|
100% |
14875
176.7 IPS |
|
|
Face Detection (Q)
|
100% |
14061
167.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
6019
46.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
50172
386.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
52512
410.4 IPS |
|
|
Style Transfer (SP)
|
100% |
22433
28.8 IPS |
|
|
Style Transfer (HP)
|
100% |
119792
154.0 IPS |
|
|
Style Transfer (Q)
|
96% |
115704
149.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4330
159.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
25673
948.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
28393
1.05 KIPS |
|
|
Text Classification (SP)
|
100% |
2280
3.04 KIPS |
|
|
Text Classification (HP)
|
100% |
3986
5.32 KIPS |
|
|
Text Classification (Q)
|
93% |
3974
5.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
3402
58.6 IPS |
|
|
Machine Translation (HP)
|
100% |
3325
57.3 IPS |
|
|
Machine Translation (Q)
|
98% |
3386
58.5 IPS |
