MacBook Pro (16-inch, 2021)
Geekbench AI Score
11239
Single Precision Score
12494
Half Precision Score
11050
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| Upload Date | November 13 2024 10:50 PM |
| Views | 2 |
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% |
4957
921.8 IPS |
|
|
Image Classification (HP)
|
100% |
4950
920.6 IPS |
|
|
Image Classification (Q)
|
97% |
4343
810.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
10018
162.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
10282
166.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
10544
170.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
56828
66.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
60267
70.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
55271
64.8 IPS |
|
|
Object Detection (SP)
|
100% |
5156
408.9 IPS |
|
|
Object Detection (HP)
|
100% |
5230
414.9 IPS |
|
|
Object Detection (Q)
|
91% |
4658
372.2 IPS |
|
|
Face Detection (SP)
|
100% |
20944
248.9 IPS |
|
|
Face Detection (HP)
|
100% |
22596
268.5 IPS |
|
|
Face Detection (Q)
|
100% |
16231
192.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
26146
201.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
26947
207.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
22700
177.4 IPS |
|
|
Style Transfer (SP)
|
100% |
96396
123.9 IPS |
|
|
Style Transfer (HP)
|
100% |
119823
154.0 IPS |
|
|
Style Transfer (Q)
|
96% |
112011
144.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
16489
608.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
16640
614.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
13325
492.0 IPS |
|
|
Text Classification (SP)
|
100% |
2277
3.04 KIPS |
|
|
Text Classification (HP)
|
100% |
3902
5.21 KIPS |
|
|
Text Classification (Q)
|
93% |
3859
5.18 KIPS |
|
|
Machine Translation (SP)
|
100% |
1116
19.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1220
21.0 IPS |
|
|
Machine Translation (Q)
|
98% |
1085
18.8 IPS |
