MacBook Pro (16-inch, 2021)
Geekbench AI Score
11281
Single Precision Score
12645
Half Precision Score
11381
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | richh- |
| Upload Date | January 06 2025 09:52 PM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
5237
973.9 IPS |
|
|
Image Classification (HP)
|
100% |
5335
992.1 IPS |
|
|
Image Classification (Q)
|
97% |
4672
871.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
10289
166.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
10534
170.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
10635
172.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
57106
66.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
60625
70.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
55803
65.4 IPS |
|
|
Object Detection (SP)
|
100% |
5208
413.1 IPS |
|
|
Object Detection (HP)
|
100% |
5642
447.5 IPS |
|
|
Object Detection (Q)
|
91% |
4771
381.2 IPS |
|
|
Face Detection (SP)
|
100% |
21780
258.8 IPS |
|
|
Face Detection (HP)
|
100% |
22995
273.2 IPS |
|
|
Face Detection (Q)
|
100% |
16705
198.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
26790
206.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
27948
215.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
23465
183.4 IPS |
|
|
Style Transfer (SP)
|
100% |
97309
125.1 IPS |
|
|
Style Transfer (HP)
|
100% |
121501
156.2 IPS |
|
|
Style Transfer (Q)
|
96% |
113949
147.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
17077
630.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
17772
656.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
14553
537.4 IPS |
|
|
Text Classification (SP)
|
100% |
2326
3.10 KIPS |
|
|
Text Classification (HP)
|
100% |
4120
5.50 KIPS |
|
|
Text Classification (Q)
|
93% |
4086
5.48 KIPS |
|
|
Machine Translation (SP)
|
100% |
924
15.9 IPS |
|
|
Machine Translation (HP)
|
100% |
951
16.4 IPS |
|
|
Machine Translation (Q)
|
98% |
1038
17.9 IPS |
