MacBook Pro (16-inch, 2021)
Geekbench AI Score
11100
Single Precision Score
12248
Half Precision Score
10973
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| Upload Date | December 29 2024 03:04 AM |
| Views | 1 |
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 | 3.21 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5179
963.1 IPS |
|
|
Image Classification (HP)
|
100% |
5217
970.2 IPS |
|
|
Image Classification (Q)
|
97% |
4558
850.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
10197
165.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
10498
170.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
10559
171.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
56886
66.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
60339
70.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
55792
65.4 IPS |
|
|
Object Detection (SP)
|
100% |
4901
388.7 IPS |
|
|
Object Detection (HP)
|
100% |
5317
421.7 IPS |
|
|
Object Detection (Q)
|
91% |
4552
363.8 IPS |
|
|
Face Detection (SP)
|
100% |
21890
260.1 IPS |
|
|
Face Detection (HP)
|
100% |
21727
258.2 IPS |
|
|
Face Detection (Q)
|
100% |
15861
188.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
26777
206.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
27092
208.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
22820
178.3 IPS |
|
|
Style Transfer (SP)
|
100% |
94637
121.7 IPS |
|
|
Style Transfer (HP)
|
100% |
121073
155.6 IPS |
|
|
Style Transfer (Q)
|
96% |
113190
146.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
16945
625.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
17075
630.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
14011
517.3 IPS |
|
|
Text Classification (SP)
|
100% |
2241
2.99 KIPS |
|
|
Text Classification (HP)
|
100% |
3955
5.28 KIPS |
|
|
Text Classification (Q)
|
93% |
3696
4.96 KIPS |
|
|
Machine Translation (SP)
|
100% |
916
15.8 IPS |
|
|
Machine Translation (HP)
|
100% |
899
15.5 IPS |
|
|
Machine Translation (Q)
|
98% |
976
16.9 IPS |
