MacBook Pro (16-inch, 2021)
Geekbench AI Score
11887
Single Precision Score
13410
Half Precision Score
12383
Quantized Score
Geekbench AI 1.6.0 for macOS AArch64
Result Information
| User | jobieh |
| Upload Date | January 16 2026 07:32 PM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.7.3 (Build 24G419) |
| 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 | 3.14 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5596
1.04 KIPS |
|
|
Image Classification (HP)
|
100% |
5355
995.8 IPS |
|
|
Image Classification (Q)
|
96% |
4788
894.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
11705
189.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
12078
195.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
11447
185.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
56934
66.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
62117
72.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
59018
69.1 IPS |
|
|
Object Detection (SP)
|
100% |
5178
410.8 IPS |
|
|
Object Detection (HP)
|
100% |
5446
432.0 IPS |
|
|
Object Detection (Q)
|
92% |
4986
398.0 IPS |
|
|
Face Detection (SP)
|
100% |
21234
252.3 IPS |
|
|
Face Detection (HP)
|
100% |
22245
264.3 IPS |
|
|
Face Detection (Q)
|
100% |
19232
228.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
26509
204.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
28106
216.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
26139
204.2 IPS |
|
|
Style Transfer (SP)
|
100% |
97187
124.9 IPS |
|
|
Style Transfer (HP)
|
100% |
123070
158.2 IPS |
|
|
Style Transfer (Q)
|
96% |
119565
154.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
16863
622.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
17855
659.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
15589
575.6 IPS |
|
|
Text Classification (SP)
|
100% |
2280
3.04 KIPS |
|
|
Text Classification (HP)
|
100% |
3923
5.24 KIPS |
|
|
Text Classification (Q)
|
93% |
4019
5.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
1387
23.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1595
27.5 IPS |
|
|
Machine Translation (Q)
|
98% |
1396
24.1 IPS |
