MacBook Pro (16-inch, 2021)
Geekbench AI Score
12213
Single Precision Score
13810
Half Precision Score
12739
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | rmckayfleming |
| Upload Date | April 09 2025 08:50 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.4 (Build 24E248) |
| 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% |
5466
1.02 KIPS |
|
|
Image Classification (HP)
|
100% |
5551
1.03 KIPS |
|
|
Image Classification (Q)
|
96% |
5095
951.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
12009
194.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
12415
201.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
11773
190.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
57725
67.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
60988
71.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
58520
68.6 IPS |
|
|
Object Detection (SP)
|
100% |
5388
427.4 IPS |
|
|
Object Detection (HP)
|
100% |
5728
454.4 IPS |
|
|
Object Detection (Q)
|
92% |
5258
419.7 IPS |
|
|
Face Detection (SP)
|
100% |
22270
264.6 IPS |
|
|
Face Detection (HP)
|
100% |
23179
275.4 IPS |
|
|
Face Detection (Q)
|
100% |
19812
235.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
27551
212.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
28584
220.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
26458
206.9 IPS |
|
|
Style Transfer (SP)
|
100% |
98278
126.3 IPS |
|
|
Style Transfer (HP)
|
100% |
123523
158.8 IPS |
|
|
Style Transfer (Q)
|
96% |
119937
154.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
17688
653.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18367
678.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
15930
588.2 IPS |
|
|
Text Classification (SP)
|
100% |
2299
3.07 KIPS |
|
|
Text Classification (HP)
|
100% |
4072
5.43 KIPS |
|
|
Text Classification (Q)
|
93% |
4048
5.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
1475
25.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1713
29.5 IPS |
|
|
Machine Translation (Q)
|
98% |
1505
26.0 IPS |
