MacBook Pro (16-inch, 2021)
Geekbench AI Score
12039
Single Precision Score
12806
Half Precision Score
11083
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | October 21 2025 10:39 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.3.2 (Build 24D81) |
| 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% |
5142
956.3 IPS |
|
|
Image Classification (HP)
|
100% |
5258
977.8 IPS |
|
|
Image Classification (Q)
|
97% |
4457
831.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
10111
163.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
10565
171.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
10549
171.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
56860
66.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
60797
70.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
55626
65.2 IPS |
|
|
Object Detection (SP)
|
100% |
5248
416.3 IPS |
|
|
Object Detection (HP)
|
100% |
5528
438.5 IPS |
|
|
Object Detection (Q)
|
91% |
4705
375.9 IPS |
|
|
Face Detection (SP)
|
100% |
21795
259.0 IPS |
|
|
Face Detection (HP)
|
100% |
22275
264.7 IPS |
|
|
Face Detection (Q)
|
100% |
16043
190.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
26461
203.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
27526
212.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
23225
181.5 IPS |
|
|
Style Transfer (SP)
|
100% |
97185
124.9 IPS |
|
|
Style Transfer (HP)
|
100% |
121569
156.3 IPS |
|
|
Style Transfer (Q)
|
96% |
113430
146.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
16840
621.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
17128
632.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
14226
525.3 IPS |
|
|
Text Classification (SP)
|
100% |
2280
3.04 KIPS |
|
|
Text Classification (HP)
|
100% |
3902
5.21 KIPS |
|
|
Text Classification (Q)
|
93% |
3914
5.25 KIPS |
|
|
Machine Translation (SP)
|
100% |
1917
33.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1276
22.0 IPS |
|
|
Machine Translation (Q)
|
98% |
966
16.7 IPS |
