MacBook Pro (14-inch, 2021)
Geekbench AI Score
3818
Single Precision Score
16036
Half Precision Score
15879
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | wyncdavies |
| Upload Date | January 21 2025 09:42 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C101) |
| Model | MacBook Pro (14-inch, 2021) |
| Model ID | MacBookPro18,4 |
| Motherboard | MacBookPro18,4 |
| CPU Information | |
|---|---|
| Name | Apple M1 Max |
| Topology | 1 Processor, 10 Cores |
| Identifier | Apple M1 Max |
| Base Frequency | 3.13 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1354
251.7 IPS |
|
|
Image Classification (HP)
|
100% |
6514
1.21 KIPS |
|
|
Image Classification (Q)
|
96% |
6300
1.18 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1628
26.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
9508
154.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
10065
163.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
10816
12.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
71261
83.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
67532
79.2 IPS |
|
|
Object Detection (SP)
|
100% |
1622
128.7 IPS |
|
|
Object Detection (HP)
|
99% |
7603
604.8 IPS |
|
|
Object Detection (Q)
|
91% |
7101
567.4 IPS |
|
|
Face Detection (SP)
|
100% |
3427
40.7 IPS |
|
|
Face Detection (HP)
|
100% |
14801
175.9 IPS |
|
|
Face Detection (Q)
|
100% |
14233
169.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
6012
46.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
51513
396.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
53001
414.2 IPS |
|
|
Style Transfer (SP)
|
100% |
22628
29.1 IPS |
|
|
Style Transfer (HP)
|
100% |
121119
155.7 IPS |
|
|
Style Transfer (Q)
|
96% |
116799
150.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4463
164.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
26572
981.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
28686
1.06 KIPS |
|
|
Text Classification (SP)
|
100% |
2330
3.11 KIPS |
|
|
Text Classification (HP)
|
100% |
4135
5.52 KIPS |
|
|
Text Classification (Q)
|
93% |
4089
5.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
3518
60.6 IPS |
|
|
Machine Translation (HP)
|
100% |
3303
56.9 IPS |
|
|
Machine Translation (Q)
|
98% |
3245
56.1 IPS |
