MacBook Pro (16-inch, 2021)
Geekbench AI Score
9798
Single Precision Score
9926
Half Precision Score
2981
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| Upload Date | December 25 2024 03:52 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 Max |
| System Information | |
|---|---|
| Operating System | macOS 14.6.1 (Build 23G93) |
| 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% |
4554
847.0 IPS |
|
|
Image Classification (HP)
|
100% |
4611
857.5 IPS |
|
|
Image Classification (Q)
|
97% |
3537
660.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
9269
150.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
9495
153.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
9294
150.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
56152
65.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
59029
68.9 IPS |
|
|
Pose Estimation (Q)
|
97% |
51897
60.8 IPS |
|
|
Object Detection (SP)
|
100% |
4787
379.7 IPS |
|
|
Object Detection (HP)
|
100% |
4914
389.8 IPS |
|
|
Object Detection (Q)
|
92% |
3873
309.1 IPS |
|
|
Face Detection (SP)
|
100% |
18331
217.8 IPS |
|
|
Face Detection (HP)
|
100% |
18874
224.3 IPS |
|
|
Face Detection (Q)
|
100% |
13143
156.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
25746
198.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
26446
203.8 IPS |
|
|
Depth Estimation (Q)
|
1% |
0
167.5 IPS |
|
|
Style Transfer (SP)
|
100% |
95324
122.5 IPS |
|
|
Style Transfer (HP)
|
100% |
117948
151.6 IPS |
|
|
Style Transfer (Q)
|
96% |
108236
139.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
16878
623.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
17237
636.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
12602
465.4 IPS |
|
|
Text Classification (SP)
|
100% |
1022
1.36 KIPS |
|
|
Text Classification (HP)
|
100% |
700
934.1 IPS |
|
|
Text Classification (Q)
|
93% |
502
673.4 IPS |
|
|
Machine Translation (SP)
|
100% |
927
16.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1030
17.7 IPS |
|
|
Machine Translation (Q)
|
98% |
933
16.1 IPS |
