MacBook Pro (16-inch, 2021)
Geekbench AI Score
11032
Single Precision Score
12202
Half Precision Score
10887
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | andrewtch |
| Upload Date | March 12 2025 09:04 PM |
| Views | 16 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.3.1 (Build 24D70) |
| 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% |
5146
957.0 IPS |
|
|
Image Classification (HP)
|
100% |
5246
975.5 IPS |
|
|
Image Classification (Q)
|
97% |
4422
825.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
10227
165.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
10400
168.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
10563
171.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
56555
66.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
60175
70.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
55216
64.7 IPS |
|
|
Object Detection (SP)
|
100% |
4998
396.5 IPS |
|
|
Object Detection (HP)
|
100% |
5386
427.2 IPS |
|
|
Object Detection (Q)
|
91% |
4465
356.8 IPS |
|
|
Face Detection (SP)
|
100% |
19810
235.4 IPS |
|
|
Face Detection (HP)
|
100% |
20876
248.1 IPS |
|
|
Face Detection (Q)
|
100% |
15546
184.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
26139
201.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
26984
207.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
23105
180.6 IPS |
|
|
Style Transfer (SP)
|
100% |
96997
124.7 IPS |
|
|
Style Transfer (HP)
|
100% |
120834
155.3 IPS |
|
|
Style Transfer (Q)
|
96% |
112812
145.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
16839
621.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
17348
640.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
13937
514.6 IPS |
|
|
Text Classification (SP)
|
100% |
2288
3.05 KIPS |
|
|
Text Classification (HP)
|
100% |
3985
5.32 KIPS |
|
|
Text Classification (Q)
|
93% |
3941
5.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
928
16.0 IPS |
|
|
Machine Translation (HP)
|
100% |
880
15.2 IPS |
|
|
Machine Translation (Q)
|
98% |
913
15.8 IPS |
